1
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Lafreniere S, Padasdao B, Konh B. Towards Design and Development of an MRI Conditional Robot to Enable Curvilinear Transperineal Prostate Biopsy. Int J Med Robot 2024; 20:e70015. [PMID: 39641325 PMCID: PMC11745543 DOI: 10.1002/rcs.70015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 11/11/2024] [Accepted: 11/18/2024] [Indexed: 12/07/2024]
Abstract
BACKGROUND In-bore MRI prostate biopsy offers improved visualisation and detection of significant prostate cancer; however, it is not widely practiced in cancer diagnosis due to its associated costs. METHODS This work introduces the first prototype towards a 7-degrees-of-freedom (DOF) MRI-conditional piezoelectrically actuated robotic system for transperineal prostate biopsy. The robot enables needle insertions in the desired trajectories. Kinematic and static models of the active needle as well as automated control of the robot are presented. RESULTS It is shown that the controller can force the needle to realize the reference sine and triangular bending angles with an accuracy of 1.78 and 1.88°, respectively, in air. The trajectory tracking capability of the system in free space is shown with an RMS error of 0.86 mm and a standard deviation of 0.36 mm. CONCLUSIONS The robot's capability to steer the needle towards target inside a phantom and extract a sample was evaluated.
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Affiliation(s)
- Samuel Lafreniere
- Department of Mechanical Engineering, University of Hawaii at Manoa, 2540 Dole St., Holmes Hall 302, Honolulu, HI 96822
| | - Blayton Padasdao
- Department of Mechanical Engineering, University of Hawaii at Manoa, 2540 Dole St., Holmes Hall 302, Honolulu, HI 96822
| | - Bardia Konh
- Department of Mechanical Engineering, University of Hawaii at Manoa, 2540 Dole St., Holmes Hall 302, Honolulu, HI 96822
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2
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Bernardes MC, Moreira P, Lezcano D, Foley L, Tuncali K, Tempany C, Kim JS, Hata N, Iordachita I, Tokuda J. In Vivo Feasibility Study: Evaluating Autonomous Data-Driven Robotic Needle Trajectory Correction in MRI-Guided Transperineal Procedures. IEEE Robot Autom Lett 2024; 9:8975-8982. [PMID: 39371576 PMCID: PMC11448709 DOI: 10.1109/lra.2024.3455940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/08/2024]
Abstract
This study addresses the targeting challenges in MRI-guided transperineal needle placement for prostate cancer (PCa) diagnosis and treatment, a procedure where accuracy is crucial for effective outcomes. We introduce a parameter-agnostic trajectory correction approach incorporating a data-driven closed-loop strategy by radial displacement and an FBG-based shape sensing to enable autonomous needle steering. In an animal study designed to emulate clinical complexity and assess MRI compatibility through a PCa mock biopsy procedure, our approach demonstrated a significant improvement in targeting accuracy (p<0.05), with mean target error of only 2.2 ± 1.9 mm on first insertion attempts, without needle reinsertions. To the best of our knowledge, this work represents the first in vivo evaluation of robotic needle steering with FBG-sensor feedback, marking a significant step towards its clinical translation.
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Affiliation(s)
| | - Pedro Moreira
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | | | - Lori Foley
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Kemal Tuncali
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Clare Tempany
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Jin Seob Kim
- Johns Hopkins University, Baltimore, MD 21218, USA
| | - Nobuhiko Hata
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | | | - Junichi Tokuda
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
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3
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Bloemberg J, Hoppener B, Coolen B, Sakes A, Breedveld P. Design and evaluation of a pneumatic actuation unit for a wasp-inspired self-propelled needle. PLoS One 2024; 19:e0306411. [PMID: 38954720 PMCID: PMC11218968 DOI: 10.1371/journal.pone.0306411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 06/17/2024] [Indexed: 07/04/2024] Open
Abstract
Transperineal laser ablation is a minimally invasive thermo-ablative treatment for prostate cancer that requires the insertion of a needle for accurate optical fiber positioning. Needle insertion in soft tissues may cause tissue motion and deformation, resulting in tissue damage and needle positioning errors. In this study, we present a wasp-inspired self-propelled needle that uses pneumatic actuation to move forward with zero external push force, thus avoiding large tissue motion and deformation. The needle consists of six parallel 0.25-mm diameter Nitinol rods driven by a pneumatic actuation system. The pneumatic actuation system consists of Magnetic Resonance (MR) safe 3D-printed parts and off-the-shelf plastic screws. A self-propelled motion is achieved by advancing the needle segments one by one, followed by retracting them simultaneously. The advancing needle segment has to overcome a cutting and friction force, while the stationary needle segments experience a friction force in the opposite direction. The needle self-propels through the tissue when the friction force of the five stationary needle segments overcomes the sum of the friction and cutting forces of the advancing needle segment. We evaluated the prototype's performance in 10-wt% gelatin phantoms and ex vivo porcine liver tissue inside a preclinical Magnetic Resonance Imaging (MRI) scanner in terms of the slip ratio of the needle with respect to the phantom or liver tissue. Our results demonstrated that the needle was able to self-propel through the phantom and liver tissue with slip ratios of 0.912-0.955 and 0.88, respectively. The prototype is a promising step toward the development of self-propelled needles for MRI-guided transperineal laser ablation as a method to treat prostate cancer.
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Affiliation(s)
- Jette Bloemberg
- Faculty of Mechanical Engineering, Department of BioMechanical Engineering, Bio-Inspired Technology (BITE) Group, Delft University of Technology, Delft, The Netherlands
| | - Bruce Hoppener
- Faculty of Mechanical Engineering, Department of BioMechanical Engineering, Bio-Inspired Technology (BITE) Group, Delft University of Technology, Delft, The Netherlands
| | - Bram Coolen
- Department of Biomedical Engineering & Physics, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
| | - Aimée Sakes
- Faculty of Mechanical Engineering, Department of BioMechanical Engineering, Bio-Inspired Technology (BITE) Group, Delft University of Technology, Delft, The Netherlands
| | - Paul Breedveld
- Faculty of Mechanical Engineering, Department of BioMechanical Engineering, Bio-Inspired Technology (BITE) Group, Delft University of Technology, Delft, The Netherlands
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Zhang J, Fang J, Xu Y, Si G. How AI and Robotics Will Advance Interventional Radiology: Narrative Review and Future Perspectives. Diagnostics (Basel) 2024; 14:1393. [PMID: 39001283 PMCID: PMC11241154 DOI: 10.3390/diagnostics14131393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2024] [Revised: 06/20/2024] [Accepted: 06/26/2024] [Indexed: 07/16/2024] Open
Abstract
The rapid advancement of artificial intelligence (AI) and robotics has led to significant progress in various medical fields including interventional radiology (IR). This review focuses on the research progress and applications of AI and robotics in IR, including deep learning (DL), machine learning (ML), and convolutional neural networks (CNNs) across specialties such as oncology, neurology, and cardiology, aiming to explore potential directions in future interventional treatments. To ensure the breadth and depth of this review, we implemented a systematic literature search strategy, selecting research published within the last five years. We conducted searches in databases such as PubMed and Google Scholar to find relevant literature. Special emphasis was placed on selecting large-scale studies to ensure the comprehensiveness and reliability of the results. This review summarizes the latest research directions and developments, ultimately analyzing their corresponding potential and limitations. It furnishes essential information and insights for researchers, clinicians, and policymakers, potentially propelling advancements and innovations within the domains of AI and IR. Finally, our findings indicate that although AI and robotics technologies are not yet widely applied in clinical settings, they are evolving across multiple aspects and are expected to significantly improve the processes and efficacy of interventional treatments.
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Affiliation(s)
- Jiaming Zhang
- Department of Radiology, Clinical Medical College, Southwest Medical University, Luzhou 646699, China; (J.Z.); (J.F.)
| | - Jiayi Fang
- Department of Radiology, Clinical Medical College, Southwest Medical University, Luzhou 646699, China; (J.Z.); (J.F.)
| | - Yanneng Xu
- Department of Radiology, Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou 646699, China;
| | - Guangyan Si
- Department of Radiology, Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou 646699, China;
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Chlorogiannis DD, Charalampopoulos G, Bale R, Odisio B, Wood BJ, Filippiadis DK. Innovations in Image-Guided Procedures: Unraveling Robot-Assisted Non-Hepatic Percutaneous Ablation. Semin Intervent Radiol 2024; 41:113-120. [PMID: 38993597 PMCID: PMC11236453 DOI: 10.1055/s-0044-1786724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/13/2024]
Abstract
Interventional oncology is routinely tasked with the feat of tumor characterization or destruction, via image-guided biopsy and tumor ablation, which may pose difficulties due to challenging-to-reach structures, target complexity, and proximity to critical structures. Such procedures carry a risk-to-benefit ratio along with measurable radiation exposure. To streamline the complexity and inherent variability of these interventions, various systems, including table-, floor-, gantry-, and patient-mounted (semi-) automatic robotic aiming devices, have been developed to decrease human error and interoperator and intraoperator outcome variability. Their implementation in clinical practice holds promise for enhancing lesion targeting, increasing accuracy and technical success rates, reducing procedure duration and radiation exposure, enhancing standardization of the field, and ultimately improving patient outcomes. This narrative review collates evidence regarding robotic tools and their implementation in interventional oncology, focusing on clinical efficacy and safety for nonhepatic malignancies.
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Affiliation(s)
| | - Georgios Charalampopoulos
- 2nd Department of Radiology, University General Hospital “ATTIKON,” Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Reto Bale
- Department of Radiology, Interventional Oncology - Stereotaxy and Robotics, Medical University Innsbruck, Innsbruck, Austria
| | - Bruno Odisio
- Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Bradford J. Wood
- Interventional Radiology and Center for Interventional Oncology, NIH Clinical Center and National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Dimitrios K. Filippiadis
- 2nd Department of Radiology, University General Hospital “ATTIKON,” Medical School, National and Kapodistrian University of Athens, Athens, Greece
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Matsui Y, Kamegawa T, Tomita K, Uka M, Umakoshi N, Kawabata T, Munetomo K, Iguchi T, Matsuno T, Hiraki T. Robotic systems in interventional oncology: a narrative review of the current status. Int J Clin Oncol 2024; 29:81-88. [PMID: 37115426 DOI: 10.1007/s10147-023-02344-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 04/13/2023] [Indexed: 04/29/2023]
Abstract
Interventional oncology offers minimally invasive treatments for malignant tumors for curative and palliative purposes based on the percutaneous insertion of needles or catheters into the target location under image guidance. Robotic systems have been gaining increasing attention as tools that provide potential advantages for image-guided interventions. Among the robotic systems developed for intervention, those relevant to the oncology field are mainly those for guiding or driving the needles in non-vascular interventional procedures such as biopsy and tumor ablation. Needle-guiding robots support planning the needle path and align the needle robotically according to the planned trajectory, which is combined with subsequent manual needle insertion by the physician through the needle guide. Needle-driving robots can advance the needle robotically after determining its orientation. Although a wide variety of robotic systems have been developed, only a limited number of these systems have reached the clinical phase or commercialization thus far. The results of previous studies suggest that such interventional robots have the potential to increase the accuracy of needle placement, facilitate out-of-plane needle insertion, decrease the learning curve, and reduce radiation exposure. On the other hand, increased complexity and costs may be a concern when using robotic systems compared with conventional manual procedures. Further data should be collected to comprehensively assess the value of robotic systems in interventional oncology.
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Affiliation(s)
- Yusuke Matsui
- Department of Radiology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, 2-5-1 Shikata-Cho, Kita-Ku, Okayama, 700-8558, Japan.
| | - Tetsushi Kamegawa
- Faculty of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Okayama, Japan
| | - Koji Tomita
- Department of Radiology, Okayama University Hospital, Okayama, Japan
| | - Mayu Uka
- Department of Radiology, Okayama University Hospital, Okayama, Japan
| | - Noriyuki Umakoshi
- Department of Radiology, Okayama University Hospital, Okayama, Japan
| | - Takahiro Kawabata
- Department of Radiology, Okayama University Hospital, Okayama, Japan
| | - Kazuaki Munetomo
- Department of Radiology, Okayama University Hospital, Okayama, Japan
| | - Toshihiro Iguchi
- Department of Radiological Technology, Faculty of Health Sciences, Okayama University, Okayama, Japan
| | - Takayuki Matsuno
- Faculty of Natural Science and Technology, Okayama University, Okayama, Japan
| | - Takao Hiraki
- Department of Radiology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, 2-5-1 Shikata-Cho, Kita-Ku, Okayama, 700-8558, Japan
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7
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Xu J, Nguyen AT, Zhao W, Chen W, Yang Z. An MRI Compatible Data Acquisition Device for Rat Brain Recording Inside 16.4T Magnet. IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS 2024; 18:160-173. [PMID: 37747860 PMCID: PMC11132088 DOI: 10.1109/tbcas.2023.3318699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/27/2023]
Abstract
Concurrent recording of neural activities and functional magnetic resonance imaging (fMRI) data is useful for studying the neurovascular coupling relationship. This article presents a low-noise, frequency-shaping based neural recorder chip that is insensitive to radio frequency (RF) pulses and gradient echo artifacts under strong magnetic environment. To support simultaneous recording of local field potentials (LFPs), extracellular spikes, and fMRI data, a magnetic resonance imaging (MRI) compatible data acquisition (DAQ) device based on the designed recorder chip is developed with multiple circuit optimization techniques. Bench-top measurement shows that the designed DAQ device has 4.5 μV input-referred noise integrated from 300 Hz to 3000 Hz, which is not greatly affected by electromagnetic interference (EMI) at ultrahigh magnetic field (UMF, 16.4 T). In animal experiments, the designed DAQ device has been demonstrated to be capable of acquiring both the LFPs and extracellular spikes from a rat's brain before, during, and after MRI scanning. Besides, no obvious artifacts are seen from the designed DAQ device at multiple typical MRI scanning modes, and the system recovery time after gradient artifacts is reduced from more than 25 ms to less than 5 ms. The proposed DAQ device architecture based on the frequency-shaping neural recorder chip is MRI compatible and can provide highly competitive performance for concurrent recording of neural activities and fMRI data.
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8
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Stoianovici D, Sharma K, Cleary K. Measurement of Magnetically Induced Torque on Lightweight Medical Devices in the Magnetic Resonance Environment for ASTM F2213. IEEE Trans Biomed Eng 2024; 71:36-44. [PMID: 37390003 PMCID: PMC10787991 DOI: 10.1109/tbme.2023.3291179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/02/2023]
Abstract
OBJECTIVE Use of medical devices in the magnetic resonance environment is regulated by standards that include the ASTM-F2213 magnetically induced torque. This standard prescribes five tests. However, none can be directly applied to measure very low torques of slender lightweight devices such as needles. METHODS We present a variant of an ASTM torsional spring method that makes a "spring" of 2 strings that suspend the needle by its ends. The magnetically induced torque on the needle causes it to rotate. The strings tilt and lift the needle. At equilibrium, the magnetically induced potential energy is balanced by the gravitational potential energy of the lift. Static equilibrium allows calculating the torque from the needle rotation angle, which is measured. Moreover, a maximum rotation angle corresponds to the maximum acceptable magnetically induced torque, under the most conservative ASTM acceptability criterion. A simple apparatus using the 2-string method is shown, it can be 3D printed, and the design files are shared. RESULTS The analytical methods were tested against a numeric dynamic model, showing perfect concordance. The method was then tested experimentally in 1.5T and 3T MRI with commercial biopsy needles. Numeric test errors were immeasurably small. Torques between 0.0001 Nm and 0.0018 Nm were measured in MRI with 7.7% maximum difference between tests. The cost to make the apparatus is 58USD and design files are shared. CONCLUSION The apparatus is simple and inexpensive and provides good accuracy as well. SIGNIFICANCE The 2-string method provides a solution to measure very low torques in the MRI.
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Jiang W, Gao Y, Wen M, Ye Z, Liang H, Wu D, Dong W. Preliminary evaluation for ultrasound-guided targeted prostate biopsy using a portable surgical robot: Ex vivo results. Int J Med Robot 2023:e2597. [PMID: 37984069 DOI: 10.1002/rcs.2597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 10/17/2023] [Accepted: 10/26/2023] [Indexed: 11/22/2023]
Abstract
BACKGROUND Robotic systems are increasingly used to enhance clinical outcomes in prostate intervention. To evaluate the clinical value of the proposed portable robot, the robot-assisted and robot-targeted punctures were validated experimentally. METHOD The robot registration utilising the electromagnetic tracker achieves coordinate transformation from the ultrasound (US) image to the robot. Subsequently, Transrectal ultrasound (TRUS)-guided phantom trials were conducted for robot-assisted, free-hand, and robot-targeted punctures. RESULTS The accuracy of robot registration was 0.95 mm, and the accuracy of robot-assisted, free-hand, and robot-targeted punctures was 2.38 ± 0.64 mm, 3.11 ± 0.72 mm, and 3.29 ± 0.83 mm sequentially. CONCLUSION The registration method has been successfully applied to robot-targeted puncture. Current results indicate that the accuracy of robot-targeted puncture is slightly inferior to that of manual operations. Moreover, in manual operation, robot-assisted puncture improves the accuracy of free-hand puncture. Accuracy superior to 3.5 mm demonstrates the clinical applicability of both robot-assisted and robot-targeted punctures.
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Affiliation(s)
- Wenhe Jiang
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, China
| | - Yongzhuo Gao
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, China
| | - Mingwei Wen
- Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China
| | - Zhichao Ye
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huageng Liang
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Dongmei Wu
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, China
| | - Wei Dong
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, China
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10
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Li N, Tous C, Dimov IP, Fei P, Zhang Q, Lessard S, Tang A, Martel S, Soulez G. Design of a Low-Cost, Self-Adaptive and MRI-Compatible Cardiac Gating System. IEEE Trans Biomed Eng 2023; 70:3126-3136. [PMID: 37276095 DOI: 10.1109/tbme.2023.3280348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
OBJECTIVE Cardiac gating, synchronizing medical scans with cardiac activity, is widely used to make quantitative measurements of physiological events and to obtain high-quality scans free of pulsatile artefacts. This can provide important information for disease diagnosis, targeted control of medical microrobots, etc. The current work proposes a low-cost, self-adaptive, MRI-compatible cardiac gating system. METHOD The system and its processing algorithm, based on the monitoring and analysis of blood pressure waveforms, are proposed. The system is tested in an in vitro experiment and two living pigs using four-dimensional (4D) flow magnetic resonance imaging (MRI) and two-dimensional phase-contrast (2D-PC) sequences. RESULTS in vitro and in vivo experiments reveal that the proposed system can provide stable cardiac synchronicity, has good MRI compatibility, and can cope with the fringe magnetic field of the MRI scanner, radiofrequency signals during image acquisition, and heart rate changes. High-resolution 4D flow imaging is successfully acquired both in vivo and in vitro. The difference between the 2D and 4D measurements is ≤ 21%. The incidence of false triggers is 0% in all tests, which is unattainable for other known cardiac gating methods. CONCLUSION The system has good MRI compatibility and can provide a stable and accurate trigger signal based on pressure waveform. It opens the door to applications where the previous gating methods were difficult to implement or not applicable.
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Zhang Y, Yuan Q, Muzzammil HM, Gao G, Xu Y. Image-guided prostate biopsy robots: A review. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2023; 20:15135-15166. [PMID: 37679175 DOI: 10.3934/mbe.2023678] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/09/2023]
Abstract
At present, the incidence of prostate cancer (PCa) in men is increasing year by year. So, the early diagnosis of PCa is of great significance. Transrectal ultrasonography (TRUS)-guided biopsy is a common method for diagnosing PCa. The biopsy process is performed manually by urologists but the diagnostic rate is only 20%-30% and its reliability and accuracy can no longer meet clinical needs. The image-guided prostate biopsy robot has the advantages of a high degree of automation, does not rely on the skills and experience of operators, reduces the work intensity and operation time of urologists and so on. Capable of delivering biopsy needles to pre-defined biopsy locations with minimal needle placement errors, it makes up for the shortcomings of traditional free-hand biopsy and improves the reliability and accuracy of biopsy. The integration of medical imaging technology and the robotic system is an important means for accurate tumor location, biopsy puncture path planning and visualization. This paper mainly reviews image-guided prostate biopsy robots. According to the existing literature, guidance modalities are divided into magnetic resonance imaging (MRI), ultrasound (US) and fusion image. First, the robot structure research by different guided methods is the main line and the actuators and material research of these guided modalities is the auxiliary line to introduce and compare. Second, the robot image-guided localization technology is discussed. Finally, the image-guided prostate biopsy robot is summarized and suggestions for future development are provided.
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Affiliation(s)
- Yongde Zhang
- Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin 150080, China
- Foshan Baikang Robot Technology Co., Ltd, Nanhai District, Foshan City, Guangdong Province 528225, China
| | - Qihang Yuan
- Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin 150080, China
| | - Hafiz Muhammad Muzzammil
- Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin 150080, China
| | - Guoqiang Gao
- Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin 150080, China
| | - Yong Xu
- Department of Urology, the Third Medical Centre, Chinese PLA (People's Liberation Army) General Hospital, Beijing 100039, China
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12
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Bernardes MC, Moreira P, Mareschal L, Tempany C, Tuncali K, Hata N, Tokuda J. Data-driven adaptive needle insertion assist for transperineal prostate interventions. Phys Med Biol 2023; 68:10.1088/1361-6560/accefa. [PMID: 37080237 PMCID: PMC10249778 DOI: 10.1088/1361-6560/accefa] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 04/20/2023] [Indexed: 04/22/2023]
Abstract
Objective.Clinical outcomes of transperineal prostate interventions, such as biopsy, thermal ablations, and brachytherapy, depend on accurate needle placement for effectiveness. However, the accurate placement of a long needle, typically 150-200 mm in length, is challenging due to needle deviation induced by needle-tissue interaction. While several approaches for needle trajectory correction have been studied, many of them do not translate well to practical applications due to the use of specialized needles not yet approved for clinical use, or to relying on needle-tissue models that need to be tailored to individual patients.Approach.In this paper, we present a robot-assisted collaborative needle insertion method that only requires an actuated passive needle guide and a conventional needle. The method is designed to assist a physician inserting a needle manually through a needle guide. If the needle is deviated from the intended path, actuators shifts the needle radially in order to steer the needle trajectory and compensate for needle deviation adaptively. The needle guide is controlled by a new data-driven algorithm which does not requirea prioriinformation about needle or tissue properties. The method was evaluated in experiments with bothin vitroandex vivophantoms.Main results.The experiments inex vivotissue reported a mean final placement error of 0.36 mm with a reduction of 96.25% of placement error when compared to insertions without the use of assistive correction.Significance.Presented results show that the proposed closed-loop formulation can be successfully used to correct needle deflection during collaborative manual insertion with potential to be easily translated into clinical application.
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Affiliation(s)
- Mariana C Bernardes
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Pedro Moreira
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Lisa Mareschal
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Clare Tempany
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Kemal Tuncali
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Nobuhiko Hata
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Junichi Tokuda
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America
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13
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Najafi G, Kreiser K, Abdelaziz MEMK, Hamady MS. Current State of Robotics in Interventional Radiology. Cardiovasc Intervent Radiol 2023; 46:549-561. [PMID: 37002481 PMCID: PMC10156773 DOI: 10.1007/s00270-023-03421-1] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 03/11/2023] [Indexed: 05/04/2023]
Abstract
As a relatively new specialty with a minimally invasive nature, the field of interventional radiology is rapidly growing. Although the application of robotic systems in this field shows great promise, such as with increased precision, accuracy, and safety, as well as reduced radiation dose and potential for teleoperated procedures, the progression of these technologies has been slow. This is partly due to the complex equipment with complicated setup procedures, the disruption to theatre flow, the high costs, as well as some device limitations, such as lack of haptic feedback. To further assess these robotic technologies, more evidence of their performance and cost-effectiveness is needed before their widespread adoption within the field. In this review, we summarise the current progress of robotic systems that have been investigated for use in vascular and non-vascular interventions.
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Affiliation(s)
- Ghazal Najafi
- Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK.
| | - Kornelia Kreiser
- Department of Neuroradiology, Rehabilitations - und Universitätskliniken Ulm, 89081, Ulm, Germany
| | - Mohamed E M K Abdelaziz
- The Hamlyn Centre, Imperial College London, London, SW7 2AZ, UK
- Department of Electrical and Electronic Engineering, Faculty of Engineering, Imperial College London, London, SW7 2AZ, UK
| | - Mohamad S Hamady
- Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK
- The Hamlyn Centre, Imperial College London, London, SW7 2AZ, UK
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14
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Moreira P, Grimble J, Bernardes MC, Iftimia N, Levesque VM, Foley L, Tuncali K, Tokuda J, Park J. Motorized template for MRI-guided focal cryoablation of prostate cancer. IEEE TRANSACTIONS ON MEDICAL ROBOTICS AND BIONICS 2023; 5:335-342. [PMID: 37312886 PMCID: PMC10259684 DOI: 10.1109/tmrb.2023.3272025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
MR-guided focal cryoablation of prostate cancer has often been selected as a minimally-invasive treatment option. Placing multiple cryo-needles accurately to form an ablation volume that adequately covers the target volume is crucial for better oncological/functional outcomes. This paper presents an MRI-compatible system combining a motorized tilting grid template with insertion depth sensing capabilities, enabling the physician to precisely place the cryo-needles into the desired location. In vivo animal study in a swine model (3 animals) was performed to test the device performance including targeting accuracy and the procedure workflow. The study showed that the insertion depth feedback improved the 3D targeting accuracy when compared to the conventional insertion technique (7.4 mm vs. 11.2 mm, p=0.04). All three cases achieved full iceball coverage without repositioning the cryo-needles. The results demonstrate the advantages of the motorized tilting mechanism and real-time insertion depth feedback, as well as the feasibility of the proposed workflow for MRI-guided focal cryoablation of prostate cancer.
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Affiliation(s)
- Pedro Moreira
- Department of Radiology at the Brigham and Women's Hospital and Harvard Medical School., Boston 02138 MA, USA
| | | | - Mariana C Bernardes
- Department of Radiology at the Brigham and Women's Hospital and Harvard Medical School., Boston 02138 MA, USA
| | | | - Vincent M Levesque
- Department of Radiology at the Brigham and Women's Hospital and Harvard Medical School., Boston 02138 MA, USA
| | - Lori Foley
- Department of Radiology at the Brigham and Women's Hospital and Harvard Medical School., Boston 02138 MA, USA
| | - Kemal Tuncali
- Department of Radiology at the Brigham and Women's Hospital and Harvard Medical School., Boston 02138 MA, USA
| | - Junichi Tokuda
- Department of Radiology at the Brigham and Women's Hospital and Harvard Medical School., Boston 02138 MA, USA
| | - Jesung Park
- Physical Science Inc., Andover 01810 MA, USA
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15
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Gunderman AL, Azizkhani M, Sengupta S, Cleary K, Chen Y. Open Source MR-Safe Pneumatic Radial Inflow Motor and Encoder (PRIME): Design and Manufacturing Guidelines. ... INTERNATIONAL SYMPOSIUM ON MEDICAL ROBOTICS. INTERNATIONAL SYMPOSIUM ON MEDICAL ROBOTICS 2023; 2023:10.1109/ismr57123.2023.10130240. [PMID: 38073863 PMCID: PMC10704579 DOI: 10.1109/ismr57123.2023.10130240] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/13/2025]
Abstract
Actuators and encoders used in MR-guided robotic interventions are subject to strict requirements to ensure patient safety and MR imaging quality. In this paper, we present an open source computer aided design (CAD) of our MR-safe Pneumatic Radial Inflow Motor and Encoder (PRIME). PRIME is a parametrically designed motor that enables scalability based on torque and speed requirements for a wide range of MR-guided robotic procedures. The design consists of five primary modifiable parameters that define the entire motor geometry. All components of the motor are either 3D printed or available off-the-shelf. Quadrature encoding is achieved using a 3D printed housing and four fiber optic cables. Benchtop experiments were performed to validate the performance of the proposed design. To the best of our knowledge, this is the first open source MR-safe pneumatic motor and encoder in the field. We aim to share the design and manufacturing guidelines to lower the entry barriers for researchers interested in MR-guided robotics.
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Affiliation(s)
- Anthony L Gunderman
- Georgia Tech Institute for Robotics and Intelligent Machines (IRIM), Atlanta, GA 30313, USA
| | - Milad Azizkhani
- Georgia Tech Institute for Robotics and Intelligent Machines (IRIM), Atlanta, GA 30313, USA
| | - Saikat Sengupta
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232 USA
| | - Kevin Cleary
- Children's National Hospital, Washington, DC 20010 USA
| | - Yue Chen
- Georgia Tech Institute for Robotics and Intelligent Machines (IRIM), Atlanta, GA 30313, USA
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16
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Robot-Assisted Magnetic Resonance Imaging-Targeted versus Systematic Prostate Biopsy; Systematic Review and Meta-Analysis. Cancers (Basel) 2023; 15:cancers15041181. [PMID: 36831524 PMCID: PMC9954527 DOI: 10.3390/cancers15041181] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 02/01/2023] [Accepted: 02/08/2023] [Indexed: 02/16/2023] Open
Abstract
INTRODUCTION Robot-assisted devices have been recently developed for use in prostate biopsy. However, it is possible advantages over standard biopsy remain unclear. We aimed to assess the diagnostic performance and safety of robot-assisted targeted (RA-TB) and systematic prostate biopsies (RA-SB). METHODS A systematic literature search was performed in MEDLINE and Scopus databases. The detailed search strategy is available at Prospero (CRD42021269290). The primary outcome was the clinically significant prostate cancer (PCa) detection rate. The secondary outcomes included the overall detection rate of PCa, cancer detection rate per core, and complications. RESULTS The clinically significant cancer detection rate, overall cancer detection rate, and "per patient" did not significantly differ between RA-TB and RA-SB [OR = 1.02 (95% CI 0.83; 1.26), p = 0.05, I2 = 62% and OR = 0.95 (95% CI 0.78; 1.17), p = 0.17, I2 = 40%, respectively]. There were no differences in the clinically insignificant cancer detection rate "per patient" between RA-TB and RA-SB [OR = 0.81 (95% CI 0.54; 1.21), p = 0.31, I2 = 0%]. RA-TB had a significantly higher cancer detection rate "per core" [OR = 3.01 (95% CI 2.77; 3.27), p < 0.0001, I2 = 96%]. CONCLUSION RA-TB and RA-SB are both technically feasible and have comparable clinical significance and overall PCa detection rates.
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17
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Liang H, Tse ZTH. MR conditional prostate intervention systems and actuations review. Proc Inst Mech Eng H 2023; 237:18-34. [PMID: 36458323 PMCID: PMC9841823 DOI: 10.1177/09544119221136169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
Abstract
Magnetic resonance imaging (MRI) has the ability to provide high-resolution images of soft tissues without the use of radiation. So much research has been focused on the development of actuators and robotic devices that can be used in the MRI environment so "real-time" images can be obtained during surgeries. With real-time guidance from MRI, robots can perform surgical procedures with high accuracy and through less invasive routes. This technique can also significantly reduce the operation time and simplify pre-surgical procedures. Therefore, research on robot-assisted MRI-guided prostate intervention has attracted a great deal of interest, and several successful clinical trials have been published in recent years, pointing to the great potential of this technology. However, the development of MRI-guided robots is still in the primary stage, and collaboration between researchers and commercial suppliers is still needed to improve such robot systems. This review presents an overview of MRI-guided prostate intervention devices and actuators. Additionally, the expected technical challenges and future advances in this field are discussed.
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Affiliation(s)
| | - Zion Tsz Ho Tse
- Zion Tsz Ho Tse, School of Engineering and Materials Science, Queen Mary University of London, Mile End Road, London E1 4NS, UK.
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18
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Liu G, Wang Y, Li G, Cleary K, Iordachita I. EVALUATION OF NEEDLE DRIVER DESIGNS FOR ROBOT-ASSISTED NEEDLE INSERTIONS UNDER MRI GUIDANCE. INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION : [PROCEEDINGS]. INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION 2022; 4:V004T06A020. [PMID: 37408734 PMCID: PMC10321559 DOI: 10.1115/imece2022-96678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/07/2023]
Abstract
This paper presents the evaluation of two detachable MR-Conditional needle driver designs for our 4-degree-of-freedom (DOF) robotic platform for MRI-guided spinal injections. Compared to their predecessor, the new designs open up the possibility of intraoperative needle driver attachment, and in order to evaluate the feasibility of such an approach, force and torque requried during the needle driver attachment process are captured to evaluate which of the two designs are better suited for such purpose. A simulated clinical scenario is also carried out to measure the possible position change of the 4-DOF robot with respect to the patient due to intraoperative tool attachment, thus providing future guidance to the proposed clinical workflow in the framework of body-mounted robotic surgical devices.
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Affiliation(s)
- Guanyun Liu
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD
| | - Yanzhou Wang
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD
| | - Gang Li
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children’s National Hospital, Washington, DC
| | - Kevin Cleary
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children’s National Hospital, Washington, DC
| | - Iulian Iordachita
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD
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19
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Tuna EE, Poirot NL, Franson D, Bayona JB, Huang S, Seiberlich N, Griswold MA, Cavusoglu MC. MRI Distortion Correction and Robot-to-MRI Scanner Registration for an MRI-Guided Robotic System. IEEE ACCESS : PRACTICAL INNOVATIONS, OPEN SOLUTIONS 2022; 10:99205-99220. [PMID: 37041984 PMCID: PMC10085576 DOI: 10.1109/access.2022.3207156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Magnetic resonance imaging (MRI) guided robotic procedures require safe robotic instrument navigation and precise target localization. This depends on reliable tracking of the instrument from MR images, which requires accurate registration of the robot to the scanner. A novel differential image based robot-to-MRI scanner registration approach is proposed that utilizes a set of active fiducial coils, where background subtraction method is employed for coil detection. In order to use the presented preoperative registration approach jointly with the real-time high speed MRI image acquisition and reconstruction methods in real-time interventional procedures, the effects of the geometric MRI distortion in robot to scanner registration is analyzed using a custom distortion mapping algorithm. The proposed approach is validated by a set of target coils placed within the workspace, employing multi-planar capabilities of the scanner. Registration and validation errors are respectively 2.05 mm and 2.63 mm after the distortion correction showing an improvement of respectively 1.08 mm and 0.14 mm compared to the results without distortion correction.
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Affiliation(s)
- E Erdem Tuna
- Department of Electrical, Computer, and Systems Engineering, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Nate Lombard Poirot
- Department of Electrical, Computer, and Systems Engineering, Case Western Reserve University, Cleveland, OH 44106, USA
| | | | - Juana Barrera Bayona
- School of Medicine, University of California San Francisco, San Francisco, CA 94143, USA
| | - Sherry Huang
- General Electric Healthcare, Royal Oak, MI 48067, USA
| | - Nicole Seiberlich
- Department of Radiology, University of Michigan, Ann-Anbor, MI 48109, USA
| | - Mark A Griswold
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA
| | - M Cenk Cavusoglu
- Department of Electrical, Computer, and Systems Engineering, Case Western Reserve University, Cleveland, OH 44106, USA
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20
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Wang Y, Liu G, Li G, Cleary K, Iordachita I. An MR-Conditional Needle Driver for Robot-Assisted Spinal Injections: Design Modifications and Evaluations. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2022; 2022:3307-3312. [PMID: 36086159 PMCID: PMC9490797 DOI: 10.1109/embc48229.2022.9871596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
This paper introduces design modifications to our MR-Conditional, 2-degree-of-freedom (DOF), remotely-actuated needle driver for MRI-guided spinal injections. The new needle driver should better meet cleaning and sterilization guidelines needed for regulatory approval, preserve the sterile field during intraoperative needle attachment, and offer better ergonomics and intuitiveness when handling the device. Dy-namic and static force and torque required to properly install the needle driver onto our 4-DOF robot base are analyzed, which provide insight into the risks of intraoperative tool attachment in the setting of robot-assisted spinal injections under MRI guidance.
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Affiliation(s)
- Yanzhou Wang
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21211, USA
| | - Guanyun Liu
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21211, USA
| | - Gang Li
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children’s National Hospital, Washington, DC 20010, USA
| | - Kevin Cleary
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children’s National Hospital, Washington, DC 20010, USA
| | - Iulian Iordachita
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21211, USA
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21
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Su H, Kwok KW, Cleary K, Iordachita I, Cavusoglu MC, Desai JP, Fischer GS. State of the Art and Future Opportunities in MRI-Guided Robot-Assisted Surgery and Interventions. PROCEEDINGS OF THE IEEE. INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS 2022; 110:968-992. [PMID: 35756185 PMCID: PMC9231642 DOI: 10.1109/jproc.2022.3169146] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
Magnetic resonance imaging (MRI) can provide high-quality 3-D visualization of target anatomy, surrounding tissue, and instrumentation, but there are significant challenges in harnessing it for effectively guiding interventional procedures. Challenges include the strong static magnetic field, rapidly switching magnetic field gradients, high-power radio frequency pulses, sensitivity to electrical noise, and constrained space to operate within the bore of the scanner. MRI has a number of advantages over other medical imaging modalities, including no ionizing radiation, excellent soft-tissue contrast that allows for visualization of tumors and other features that are not readily visible by other modalities, true 3-D imaging capabilities, including the ability to image arbitrary scan plane geometry or perform volumetric imaging, and capability for multimodality sensing, including diffusion, dynamic contrast, blood flow, blood oxygenation, temperature, and tracking of biomarkers. The use of robotic assistants within the MRI bore, alongside the patient during imaging, enables intraoperative MR imaging (iMRI) to guide a surgical intervention in a closed-loop fashion that can include tracking of tissue deformation and target motion, localization of instrumentation, and monitoring of therapy delivery. With the ever-expanding clinical use of MRI, MRI-compatible robotic systems have been heralded as a new approach to assist interventional procedures to allow physicians to treat patients more accurately and effectively. Deploying robotic systems inside the bore synergizes the visual capability of MRI and the manipulation capability of robotic assistance, resulting in a closed-loop surgery architecture. This article details the challenges and history of robotic systems intended to operate in an MRI environment and outlines promising clinical applications and associated state-of-the-art MRI-compatible robotic systems and technology for making this possible.
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Affiliation(s)
- Hao Su
- Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695 USA
| | - Ka-Wai Kwok
- Department of Mechanical Engineering, The University of Hong Kong, Hong Kong
| | - Kevin Cleary
- Children's National Health System, Washington, DC 20010 USA
| | - Iulian Iordachita
- Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD 21218 USA
| | - M Cenk Cavusoglu
- Department of Electrical, Computer, and Systems Engineering, Case Western Reserve University, Cleveland, OH 44106 USA
| | - Jaydev P Desai
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA 30332 USA
| | - Gregory S Fischer
- Department of Robotics Engineering, Worcester Polytechnic Institute, Worcester, MA 01609 USA
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22
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Aleong AM, Looi T, Luo K, Zou Z, Waspe A, Singh S, Drake JM, Weersink RA. Preliminary Study of a Modular MR-Compatible Robot for Image-Guided Insertion of Multiple Needles. Front Oncol 2022; 12:829369. [PMID: 35651801 PMCID: PMC9149218 DOI: 10.3389/fonc.2022.829369] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Accepted: 03/21/2022] [Indexed: 11/15/2022] Open
Abstract
Percutaneous needle-based interventions such as transperineal prostate brachytherapy require the accurate placement of multiple needles to treat cancerous lesions within the target organ. To guide needle placement, magnetic resonance imaging (MRI) offers excellent visualization of the target lesion without the need for ionizing radiation. To date, multi-needle insertion relies on a grid template, which limits the ability to steer individual needles. This work describes an MR-compatible robot designed for the sequential insertion of multiple non-parallel needles under MR guidance. The 6-DOF system is designed with an articulated arm to extend the reach of the robot. This strategy presents a novel approach enabling the robot to maneuver around existing needles while minimizing the footprint of the robot. Forward kinematics as well as optimization-based inverse kinematics are presented. The impact of the robot on image quality was tested for four sequences (T1w-TSE, T2w-TSE, THRIVE and EPI) on a 3T Philips Achieva system. Quantification of the signal-to-noise ratio showed a 46% signal loss in a gelatin phantom when the system was powered on but no further adverse effects when the robot was moving. Joint level testing showed a maximum error of 2.10 ± 0.72°s for revolute joints and 0.31 ± 0.60 mm for prismatic joints. The theoretical workspace spans the proposed clinical target surface of 10 x 10 cm. Lastly, the feasibility of multi-needle insertion was demonstrated with four needles inserted under real-time MR-guidance with no visible loss in image quality.
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Affiliation(s)
- Amanda M Aleong
- The Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada
| | - Thomas Looi
- The Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada.,The Centre of Image Guided Innovation and Therapeutic Intervention in the Hospital for Sick Children, Toronto, ON, Canada
| | - Kevin Luo
- The Centre of Image Guided Innovation and Therapeutic Intervention in the Hospital for Sick Children, Toronto, ON, Canada
| | - Zhiling Zou
- The Centre of Image Guided Innovation and Therapeutic Intervention in the Hospital for Sick Children, Toronto, ON, Canada
| | - Adam Waspe
- The Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada.,The Centre of Image Guided Innovation and Therapeutic Intervention in the Hospital for Sick Children, Toronto, ON, Canada
| | - Satwinder Singh
- The Centre of Image Guided Innovation and Therapeutic Intervention in the Hospital for Sick Children, Toronto, ON, Canada
| | - James M Drake
- The Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada.,The Centre of Image Guided Innovation and Therapeutic Intervention in the Hospital for Sick Children, Toronto, ON, Canada
| | - Robert A Weersink
- The Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada.,The Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.,The Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
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23
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Li G, Patel NA, Melzer A, Sharma K, Iordachita I, Cleary K. MRI-guided lumbar spinal injections with body-mounted robotic system: cadaver studies. MINIM INVASIV THER 2022; 31:297-305. [PMID: 32729771 PMCID: PMC7855543 DOI: 10.1080/13645706.2020.1799017] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 06/26/2020] [Indexed: 02/03/2023]
Abstract
INTRODUCTION This paper reports the system integration and cadaveric assessment of a body-mounted robotic system for MRI-guided lumbar spine injections. The system is developed to enable MR-guided interventions in closed bore magnet and avoid problems due to patient movement during cannula guidance. MATERIAL AND METHODS The robot is comprised by a lightweight and compact structure so that it can be mounted directly onto the lower back of a patient using straps. Therefore, it can minimize the influence of patient movement by moving with the patient. The MR-Conditional robot is integrated with an image-guided surgical planning workstation. A dedicated clinical workflow is created for the robot-assisted procedure to improve the conventional freehand MRI-guided procedure. RESULTS Cadaver studies were performed with both freehand and robot-assisted approaches to validate the feasibility of the clinical workflow and to assess the positioning accuracy of the robotic system. The experiment results demonstrate that the root mean square (RMS) error of the target position to be 2.57 ± 1.09 mm and of the insertion angle to be 2.17 ± 0.89°. CONCLUSION The robot-assisted approach is able to provide more accurate and reproducible cannula placements than the freehand procedure, as well as to reduce the number of insertion attempts.
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Affiliation(s)
- Gang Li
- Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, USA
| | - Niravkumar A. Patel
- Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, USA
| | - Andreas Melzer
- Institute of Medical Science and Technology, University of Dundee, Dundee, UK
| | - Karun Sharma
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children’s National Health System, Washington, DC, USA
| | - Iulian Iordachita
- Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, USA
| | - Kevin Cleary
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children’s National Health System, Washington, DC, USA
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24
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Xiao X, Wu Y, Wu Q, Ren H. Concurrently bendable and rotatable continuum tubular robot for omnidirectional multi-core transurethral prostate biopsy. Med Biol Eng Comput 2021; 60:229-238. [PMID: 34813020 DOI: 10.1007/s11517-021-02434-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2020] [Accepted: 08/16/2021] [Indexed: 11/30/2022]
Abstract
A transurethral prostate biopsy device is proposed in this paper, which can shoot a biopsy needle at different angles to take samples from multiple locations within the prostate. Firstly, the traditional prostate biopsy methods, including transrectal prostate biopsy and transperineal prostate biopsy, are introduced and compared. Then, the working principles of the new prostate biopsy procedure are illustrated. The designs of the needle bending system and the flexible needle are presented, and a proofs-of-concept study of the robotic biopsy device is demonstrated. Design parameters, material selection, and control unit are introduced. Experiments are carried out to test and demonstrate the functions of the prototype. Theoretical and measured bending angles are compared and analyzed. The bending system can effectively bend the biopsy needle to any angle between 15 and 45°. The penetration force of the biopsy needle decreases with the increase of the bending angle. The range of rotation of the bending system on one hemisphere is ±25°. Together with the translational motion, the biopsy needle can reach any point within the workspace. Finally, a phantom test and a cadaver experiment were carried out to simulate biopsy.
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Affiliation(s)
- Xiao Xiao
- Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.,Department of Biomedical Engineering, National University of Singapore, 9 Engineering Drive 1, Singapore, 117575, Singapore
| | - Yifan Wu
- Department of Biomedical Engineering, National University of Singapore, 9 Engineering Drive 1, Singapore, 117575, Singapore
| | - Qinghui Wu
- Department of Urology, National University Hospital, Singapore, 119074, Singapore
| | - Hongliang Ren
- Department of Biomedical Engineering, National University of Singapore, 9 Engineering Drive 1, Singapore, 117575, Singapore. .,Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, 999077, China. .,NUS (Suzhou) Research Institute (NUSRI), Suzhou, 215123, China.
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25
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Wang L, Zhang Y, Zuo S, Xu Y. A review of the research progress of interventional medical equipment and methods for prostate cancer. Int J Med Robot 2021; 17:e2303. [PMID: 34231317 DOI: 10.1002/rcs.2303] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 06/16/2021] [Accepted: 06/18/2021] [Indexed: 12/17/2022]
Abstract
BACKGROUND Prostate cancer is a common disease in men and has a relatively high mortality rate. However, the interventional medical equipment used for prostate biopsy and brachytherapy has always been a social concern. METHODS To understand interventional medical equipment for prostate cancer, the structure of manual, semi-automatic and automatic medical equipment were considered as the mainline, while the corresponding research on these structures were the auxiliary lines. The characteristics and corresponding research status have been discussed. RESULTS Interventional medical equipment for prostate cancer with different degrees of automation and its characteristics were determined, and the imaging principles and characteristics of computed tomography, transrectal ultrasound and magnetic resonance imaging have been briefly described. CONCLUSION Certain feasible research suggestions have been proposed for future development from the perspective of structure, accuracy and safety. These include flexible and compact robot structures, high-precision image recognition and guidance, accurate dose planning and monitoring, real-time imaging monitoring without delay, high-precision needle insertion strategy, master-slave control, virtual reality and remote control.
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Affiliation(s)
- Lifeng Wang
- Intelligent Machine Institute, Harbin University of Science and Technology, Harbin, China
| | - Yongde Zhang
- Intelligent Machine Institute, Harbin University of Science and Technology, Harbin, China
| | - Sihao Zuo
- Intelligent Machine Institute, Harbin University of Science and Technology, Harbin, China.,Foshan Baikang Robot Technology Co., Ltd., Foshan, China
| | - Yong Xu
- Chinese PLA General Hospital, Beijing, China
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26
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Patel N, Yan J, Li G, Monfaredi R, Priba L, Donald-Simpson H, Joy J, Dennison A, Melzer A, Sharma K, Iordachita I, Cleary K. Body-Mounted Robotic System for MRI-Guided Shoulder Arthrography: Cadaver and Clinical Workflow Studies. Front Robot AI 2021; 8:667121. [PMID: 34041276 PMCID: PMC8141739 DOI: 10.3389/frobt.2021.667121] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 04/20/2021] [Indexed: 12/13/2022] Open
Abstract
This paper presents an intraoperative MRI-guided, patient-mounted robotic system for shoulder arthrography procedures in pediatric patients. The robot is designed to be compact and lightweight and is constructed with nonmagnetic materials for MRI safety. Our goal is to transform the current two-step arthrography procedure (CT/x-ray-guided needle insertion followed by diagnostic MRI) into a streamlined single-step ionizing radiation-free procedure under MRI guidance. The MR-conditional robot was evaluated in a Thiel embalmed cadaver study and healthy volunteer studies. The robot was attached to the shoulder using straps and ten locations in the shoulder joint space were selected as targets. For the first target, contrast agent (saline) was injected to complete the clinical workflow. After each targeting attempt, a confirmation scan was acquired to analyze the needle placement accuracy. During the volunteer studies, a more comfortable and ergonomic shoulder brace was used, and the complete clinical workflow was followed to measure the total procedure time. In the cadaver study, the needle was successfully placed in the shoulder joint space in all the targeting attempts with translational and rotational accuracy of 2.07 ± 1.22 mm and 1.46 ± 1.06 degrees, respectively. The total time for the entire procedure was 94 min and the average time for each targeting attempt was 20 min in the cadaver study, while the average time for the entire workflow for the volunteer studies was 36 min. No image quality degradation due to the presence of the robot was detected. This Thiel-embalmed cadaver study along with the clinical workflow studies on human volunteers demonstrated the feasibility of using an MR-conditional, patient-mounted robotic system for MRI-guided shoulder arthrography procedure. Future work will be focused on moving the technology to clinical practice.
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Affiliation(s)
| | - Jiawen Yan
- LCSR, Johns Hopkins University, Baltimore, MD, United States
| | - Gang Li
- LCSR, Johns Hopkins University, Baltimore, MD, United States
| | - Reza Monfaredi
- Children's National Health System, Washington, DC, United States
| | - Lukasz Priba
- Institute for Medical Science and Technology, University of Dundee, Dundee, United Kingdom
| | - Helen Donald-Simpson
- Institute for Medical Science and Technology, University of Dundee, Dundee, United Kingdom
| | - Joyce Joy
- Institute for Medical Science and Technology, University of Dundee, Dundee, United Kingdom
| | - Andrew Dennison
- Institute for Medical Science and Technology, University of Dundee, Dundee, United Kingdom
| | - Andreas Melzer
- Institute for Medical Science and Technology, University of Dundee, Dundee, United Kingdom.,Institute for Computer Aided Surgery, University Leipzig, Leipzig, Germany
| | - Karun Sharma
- Children's National Health System, Washington, DC, United States
| | | | - Kevin Cleary
- Children's National Health System, Washington, DC, United States
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Moreira P, Grimble J, Iftimia N, Bay CP, Tuncali K, Park J, Tokuda J. In vivo evaluation of angulated needle-guide template for MRI-guided transperineal prostate biopsy. Med Phys 2021; 48:2553-2565. [PMID: 33651407 DOI: 10.1002/mp.14816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 01/28/2021] [Accepted: 02/10/2021] [Indexed: 11/07/2022] Open
Abstract
PURPOSE Magnetic resonance imaging (MRI)-guided transperineal prostate biopsy has been practiced since the early 2000s. The technique often suffers from targeting error due to deviation of the needle as a result of physical interaction between the needle and inhomogeneous tissues. Existing needle guide devices, such as a grid template, do not allow choosing an alternative insertion path to mitigate the deviation because of their limited degree-of-freedom (DoF). This study evaluates how an angulated needle insertion path can reduce needle deviation and improve needle placement accuracy. METHODS We extended a robotic needle-guidance device (Smart Template) for in-bore MRI-guided transperineal prostate biopsy. The new Smart Template has a 4-DoF needle-guiding mechanism allowing a translational range of motion of 65 and 58 mm along the vertical and horizontal axis, and a needle rotational motion around the vertical and horizontal axis ± 30 ∘ and a vertical rotational range of - 30 ∘ , + 10 ∘ , respectively. We defined a path planning strategy, which chooses between straight and angulated insertion paths depending on the anatomical structures on the potential insertion path. We performed (a) a set of experiments to evaluate the device positioning accuracy outside the MR-bore, and (b) an in vivo experiment to evaluate the improvement of targeting accuracy combining straight and angulated insertions in animal models (swine, n = 3 ). RESULTS We analyzed 46 in vivo insertions using either straight or angulated insertions paths. The experiment showed that the proposed strategy of selecting straight or angulated insertions based on the subject's anatomy outperformed the conventional approach of just straight insertions in terms of targeting accuracy (2.4 mm [1.3-3.7] vs 3.9 mm [2.4-5.0] {Median IQR } ); p = 0.041 after the bias correction). CONCLUSION The in vivo experiment successfully demonstrated that an angulated needle insertion path could improve needle placement accuracy with a path planning strategy that takes account of the subject-specific anatomical structures.
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Affiliation(s)
- Pedro Moreira
- Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, 75 Francis St., Boston, MA, USA
| | - John Grimble
- Physical Sciences Inc., 20 New England Bus Center Dr, Andover, MA, USA
| | - Nicusor Iftimia
- Physical Sciences Inc., 20 New England Bus Center Dr, Andover, MA, USA
| | - Camden P Bay
- Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, 75 Francis St., Boston, MA, USA
| | - Kemal Tuncali
- Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, 75 Francis St., Boston, MA, USA
| | - Jesung Park
- Physical Sciences Inc., 20 New England Bus Center Dr, Andover, MA, USA
| | - Junichi Tokuda
- Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, 75 Francis St., Boston, MA, USA
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28
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Li H, Wang Y, Li Y, Zhang J. A novel manipulator with needle insertion forces feedback for robot-assisted lumbar puncture. Int J Med Robot 2021; 17:e2226. [PMID: 33452700 DOI: 10.1002/rcs.2226] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 01/07/2021] [Accepted: 01/08/2021] [Indexed: 11/08/2022]
Abstract
BACKGROUND The use of lumbar puncture for paediatric diagnosis and treatment, such as cerebrospinal fluid sampling and intracranial pressure measurements, is steadily increasing. However, the standard 'blind' technique makes it difficult to attain accurate needle insertion. METHODS In this study, we developed a robot-assisted system to improve the precision of needle insertion during lumbar puncture. The manipulator can perform orientation, insertion and rotation of the needle as well as linear motion at targeted locations. We focused on accurately sensing the puncture forces during the needle insertion phase and evaluated the piercing force perception of the operator. RESULTS The main features of the robot, such as backdrivable joints, physical human-robot cooperation, actuation system with low friction and remote centre of motion mechanism, can enhance overall safety. CONCLUSIONS Experimental results using a lumbar puncture phantom proved that the manipulator could position the needle tip at targeted locations with good accuracy. The data obtained from the test system also showed that the loss of resistance and peak forces for stiff tissues were accurately perceived by the operator.
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Affiliation(s)
- Hongbing Li
- Department of Instrument Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Yiyun Wang
- Department of Instrument Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Yuling Li
- Department of Instrument Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Jing Zhang
- Department of Hematology and Oncology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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29
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Taguchi K, Hamamoto S, Kawase K, Hattori T, Okada T, Chaya R, Nagai T, Kato T, Okada A, Yasui T. The First Case Report of Robot-Assisted Fluoroscopy-Guided Renal Access During Endoscopic Combined Intrarenal Surgery. J Endourol Case Rep 2020; 6:310-314. [PMID: 33457661 DOI: 10.1089/cren.2020.0125] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Background: During percutaneous nephrolithotomy (PCNL) and endoscopic combined intrarenal surgery (ECIRS), obtaining renal access is the most critical step to achieving effective treatment without major intraoperative complications. Among a variety of methods attempted to improve the access, robot-assisted fluoroscopy-guided (RAFG) renal access has been introduced to mitigate technical human errors and overcome challenging learning curves. In this study, we present our first experience with an automated needle targeting with an X-ray (ANT-X) device for minimally invasive (mini-) ECIRS. Case Presentation: A 75-year-old healthy woman with a 6.0 cm3 left kidney stone was referred to our hospital for surgical treatment. The patient underwent mini-ECIRS utilizing RAFG renal access without complication, and the stone was completely removed. The ureteral stent and transurethral catheter were removed on postoperative day 2, and the patient was discharged on postoperative day 3. There were no residual fragments detected by CT as of 3 months after the surgery. Conclusion: To our knowledge, this is the first report of the effective use of RAFG mini-ECIRS for a kidney stone. The overall outcome was positive, indicating the feasibility of ANT-X use for PCNL and ECIRS.
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Affiliation(s)
- Kazumi Taguchi
- Department of Nephro-urology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Shuzo Hamamoto
- Department of Nephro-urology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Kengo Kawase
- Department of Nephro-urology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Tatsuya Hattori
- Department of Nephro-urology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Tomoki Okada
- Department of Nephro-urology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Ryosuke Chaya
- Department of Nephro-urology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Takashi Nagai
- Department of Nephro-urology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Taiki Kato
- Department of Nephro-urology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Atsushi Okada
- Department of Nephro-urology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Takahiro Yasui
- Department of Nephro-urology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
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30
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Li G, Patel NA, Sharma K, Monfaredi R, Dumoulin C, Fritz J, Iordachita I, Cleary K. Body-Mounted Robotics for Interventional MRI Procedures. IEEE TRANSACTIONS ON MEDICAL ROBOTICS AND BIONICS 2020; 2:557-560. [PMID: 33778433 PMCID: PMC7996400 DOI: 10.1109/tmrb.2020.3030532] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/01/2023]
Abstract
This paper reports the development and initial cadaveric evaluation of a robotic framework for MRI-guided interventions using a body-mounted approach. The framework is developed based on modular design principles. The framework consists of a body-mounted needle placement manipulator, robot control software, robot controller, interventional planning workstation, and MRI scanner. The framework is modular in the sense that all components are connected independently, making it readily extensible and reconfigurable for supporting the clinical workflow of various interventional MRI procedures. Based on this framework we developed two body-mounted robots for musculoskeletal procedures. The first robot is a four-degree of freedom system called ArthroBot for shoulder arthrography in pediatric patients. The second robot is a six-degree of freedom system called PainBot for perineural injections used to treat pain in adult and pediatric patients. Body-mounted robots are designed with compact and lightweight structure so that they can be attached directly to the patient, which minimizes the effect of patient motion by allowing the robot to move with the patient. A dedicated clinical workflow is proposed for the MRI-guided musculoskeletal procedures using body-mounted robots. Initial cadaveric evaluations of both systems were performed to verify the feasibility of the systems and validate the clinical workflow.
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Affiliation(s)
- Gang Li
- Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, USA
| | - Niravkumar A Patel
- Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, USA
| | - Karun Sharma
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Childrens National Hospital, Washington, DC, USA
| | - Reza Monfaredi
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Childrens National Hospital, Washington, DC, USA
| | - Charles Dumoulin
- Cincinnati Childrens Hospital Medical Center, Cincinnati, OH, USA
| | - Jan Fritz
- New York University, New York, NY, USA
| | - Iulian Iordachita
- Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, USA
| | - Kevin Cleary
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Childrens National Hospital, Washington, DC, USA
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31
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Li G, Patel NA, Wang Y, Dumoulin C, Loew W, Loparo O, Schneider K, Sharma K, Cleary K, Fritz J, Iordachita I. Fully Actuated Body-Mounted Robotic System for MRI-Guided Lower Back Pain Injections: Initial Phantom and Cadaver Studies. IEEE Robot Autom Lett 2020; 5:5245-5251. [PMID: 33748414 PMCID: PMC7971162 DOI: 10.1109/lra.2020.3007459] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
This paper reports the improved design, system integration, and initial experimental evaluation of a fully actuated body-mounted robotic system for real-time MRI-guided lower back pain injections. The 6-DOF robot is composed of a 4-DOF needle alignment module and a 2-DOF remotely actuated needle driver module, which together provide a fully actuated manipulator that can operate inside the scanner bore during imaging. The system minimizes the need to move the patient in and out of the scanner during a procedure, and thus may shorten the procedure time and streamline the clinical workflow. The robot is devised with a compact and lightweight structure that can be attached directly to the patient's lower back via straps. This approach minimizes the effect of patient motion by allowing the robot to move with the patient. The robot is integrated with an image-based surgical planning module. A dedicated clinical workflow is proposed for robot-assisted lower back pain injections under real-time MRI guidance. Targeting accuracy of the system was evaluated with a real-time MRI-guided phantom study, demonstrating the mean absolute errors (MAE) of the tip position to be 1.50±0.68mm and of the needle angle to be 1.56±0.93°. An initial cadaver study was performed to validate the feasibility of the clinical workflow, indicating the maximum error of the position to be less than 1.90mm and of the angle to be less than 3.14°.
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Affiliation(s)
- Gang Li
- Gang Li, Niravkumar A. Patel, Yanzhou Wang, and Iulian Iordachita are with Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, USA
| | - Niravkumar A Patel
- Gang Li, Niravkumar A. Patel, Yanzhou Wang, and Iulian Iordachita are with Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, USA
| | - Yanzhou Wang
- Gang Li, Niravkumar A. Patel, Yanzhou Wang, and Iulian Iordachita are with Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, USA
| | - Charles Dumoulin
- Charles Dumoulin, Wolfgang Loew, Olivia Loparo, and Katherine Schneider are with Cincinnati Childrens Hospital Medical Center, Cincinnati, OH, USA
| | - Wolfgang Loew
- Charles Dumoulin, Wolfgang Loew, Olivia Loparo, and Katherine Schneider are with Cincinnati Childrens Hospital Medical Center, Cincinnati, OH, USA
| | - Olivia Loparo
- Charles Dumoulin, Wolfgang Loew, Olivia Loparo, and Katherine Schneider are with Cincinnati Childrens Hospital Medical Center, Cincinnati, OH, USA
| | - Katherine Schneider
- Charles Dumoulin, Wolfgang Loew, Olivia Loparo, and Katherine Schneider are with Cincinnati Childrens Hospital Medical Center, Cincinnati, OH, USA
| | - Karun Sharma
- Karun Sharma and Kevin Cleary are with the Sheikh Zayed Institute for Pediatric Surgical Innovation, Childrens National Hospital, Washington, DC, USA
| | - Kevin Cleary
- Karun Sharma and Kevin Cleary are with the Sheikh Zayed Institute for Pediatric Surgical Innovation, Childrens National Hospital, Washington, DC, USA
| | - Jan Fritz
- Jan Fritz is with Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Iulian Iordachita
- Gang Li, Niravkumar A. Patel, Yanzhou Wang, and Iulian Iordachita are with Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, USA
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Tuna EE, Poirot NL, Bayona JB, Franson D, Huang S, Narvaez J, Seiberlich N, Griswold M, Çavuşoğlu MC. Differential Image Based Robot to MRI Scanner Registration with Active Fiducial Markers for an MRI-Guided Robotic Catheter System. PROCEEDINGS OF THE ... IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS. IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS 2020; 2020:2958-2964. [PMID: 34136309 PMCID: PMC8202025 DOI: 10.1109/iros45743.2020.9341043] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
In magnetic resonance imaging (MRI) guided robotic catheter ablation procedures, reliable tracking of the catheter within the MRI scanner is needed to safely navigate the catheter. This requires accurate registration of the catheter to the scanner. This paper presents a differential, multi-slice image-based registration approach utilizing active fiducial coils. The proposed method would be used to preoperatively register the MRI image space with the physical catheter space. In the proposed scheme, the registration is performed with the help of a registration frame, which has a set of embedded electromagnetic coils designed to actively create MRI image artifacts. These coils are detected in the MRI scanner's coordinate system by background subtraction. The detected coil locations in each slice are weighted by the artifact size and then registered to known ground truth coil locations in the catheter's coordinate system via least-squares fitting. The proposed approach is validated by using a set of target coils placed withing the workspace, employing multi-planar capabilities of the MRI scanner. The average registration and validation errors are respectively computed as 1.97 mm and 2.49 mm. The multi-slice approach is also compared to the single-slice method and shown to improve registration and validation by respectively 0.45 mm and 0.66 mm.
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Affiliation(s)
- E Erdem Tuna
- Department of Electrical, Computer, and Systems Engineering, Case Western Reserve University, Cleveland, OH, USA
| | - Nate Lombard Poirot
- Department of Electrical, Computer, and Systems Engineering, Case Western Reserve University, Cleveland, OH, USA
| | - Juana Barrera Bayona
- Department of Electrical, Computer, and Systems Engineering, Case Western Reserve University, Cleveland, OH, USA
| | - Dominique Franson
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA
| | - Sherry Huang
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA
| | - Julian Narvaez
- Department of Electrical, Computer, and Systems Engineering, Case Western Reserve University, Cleveland, OH, USA
| | | | - Mark Griswold
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA
| | - M Cenk Çavuşoğlu
- Department of Electrical, Computer, and Systems Engineering, Case Western Reserve University, Cleveland, OH, USA
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33
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Kulkarni P, Sikander S, Biswas P, Laha S, Cornnell H, Burt JR, Bagci U, Song SE. Development of a Device-to-Image Registration Free Needle Guide for Magnetic Resonance Imaging-Guided Targeted Prostate Biopsy. J Med Device 2020. [DOI: 10.1115/1.4047874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
Abstract
Significant research has been done in the past decade for the development of magnetic resonance imaging (MRI) guided needle guide (NG) systems for prostate intervention. Most of these systems have been restricted to application in the lab environment with lack of progress toward clinical application. Bulky and complex designs can be attributed to this practice. These systems also demand complex technical setup and usage procedures, which require extra technical personnel during the intervention in addition to specialized training for physicians. Moreover, “device-to-image” registration, essential for accurate and precise targeting, further complicates the overall process while increasing total time for intervention. In order to address these limitations, a simplified, MRI-guided, transperineal prostate biopsy NG system was designed and developed for rapid adoption into the clinical environment. The system consists of a NG device and a software toolkit. It does not require any special intraprocedural technical expertise or dedicated training. Also, to simplify and shorten total procedure time, the device uses the unique concept of “fixed coordinate device” eliminating the need for any device-to-image registration making it clinically friendly. To verify the NG design along with the registration free feature, image quality tests and agar phantom-based targeting experiments were performed under the guidance of 3T MRI scanner. The imaging tests resulted in a distortion of less than 1% in presence of the device and an average change of 1.3% in signal-to-noise ratio. For targeting experiments, maximum in-plane error distance of 3.8 mm with a mean of 2.2 mm and standard deviation of 0.8 mm was observed. The results show that an MRI-compatible simplified intervention device without the need of device-to-image registration is technically feasible.
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Affiliation(s)
- Pankaj Kulkarni
- Department of Mechanical and Aerospace Engineering, University of Central Florida, 12760 Pegasus Drive Engineering 1, Room 307, Orlando, FL 32816
| | - Sakura Sikander
- Department of Mechanical and Aerospace Engineering, University of Central Florida, 12760 Pegasus Drive Engineering 1, Room 307, Orlando, FL 32816
| | - Pradipta Biswas
- Department of Mechanical and Aerospace Engineering, University of Central Florida, 12760 Pegasus Drive Engineering 1, Room 307, Orlando, FL 32816
| | - Sumit Laha
- Department of Computer Science, University of Central Florida, 4328 Scorpius Street Building 116, Room 346, Orlando, FL 32816
| | | | - Jeremy R. Burt
- Department of Radiology, Medical University of South Carolina, Ashley River Tower, 25 Courtenay Drive; MSC 226, Charleston, SC 29425
| | - Ulas Bagci
- Department of Computer Science, University of Central Florida, 4328 Scorpius Street Building 116, Room 346, Orlando, FL 32816
| | - Sang-Eun Song
- Department of Mechanical and Aerospace Engineering, University of Central Florida, 12760 Pegasus Drive Engineering 1, Room 307, Orlando, FL 32816
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Li G, Patel NA, Liu W, Wu D, Sharma K, Cleary K, Fritz J, Iordachita I. A Fully Actuated Body-Mounted Robotic Assistant for MRI-Guided Low Back Pain Injection. IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION : ICRA : [PROCEEDINGS]. IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION 2020; 2020:10.1109/icra40945.2020.9197534. [PMID: 34422445 PMCID: PMC8375549 DOI: 10.1109/icra40945.2020.9197534] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/29/2023]
Abstract
This paper reports the development of a fully actuated body-mounted robotic assistant for MRI-guided low back pain injection. The robot is designed with a 4-DOF needle alignment module and a 2-DOF remotely actuated needle driver module. The 6-DOF fully actuated robot can operate inside the scanner bore during imaging; hence, minimizing the need of moving the patient in or out of the scanner during the procedure, and thus potentially reducing the procedure time and streamlining the workflow. The robot is built with a lightweight and compact structure that can be attached directly to the patient's lower back using straps; therefore, attenuating the effect of patient motion by moving with the patient. The novel remote actuation design of the needle driver module with beaded chain transmission can reduce the weight and profile on the patient, as well as minimize the imaging degradation caused by the actuation electronics. The free space positioning accuracy of the system was evaluated with an optical tracking system, demonstrating the mean absolute errors (MAE) of the tip position to be 0.99±0.46 mm and orientation to be 0.99±0.65°. Qualitative imaging quality evaluation was performed on a human volunteer, revealing minimal visible image degradation that should not affect the procedure. The mounting stability of the system was assessed on a human volunteer, indicating the 3D position variation of target movement with respect to the robot frame to be less than 0.7 mm.
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Affiliation(s)
- Gang Li
- Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, USA
| | - Niravkumar A Patel
- Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, USA
| | - Weiqiang Liu
- Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, USA
| | - Di Wu
- Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, USA
| | - Karun Sharma
- Institute for Pediatric Surgical Innovation, Children's National Health System, Washington, DC, USA
| | - Kevin Cleary
- Institute for Pediatric Surgical Innovation, Children's National Health System, Washington, DC, USA
| | - Jan Fritz
- Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Iulian Iordachita
- Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, USA
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Li G, Patel NA, Hagemeister J, Yan J, Wu D, Sharma K, Cleary K, Iordachita I. Body-mounted robotic assistant for MRI-guided low back pain injection. Int J Comput Assist Radiol Surg 2020; 15:321-331. [PMID: 31625021 PMCID: PMC7027988 DOI: 10.1007/s11548-019-02080-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2019] [Accepted: 10/04/2019] [Indexed: 10/25/2022]
Abstract
PURPOSE This paper presents the development of a body-mounted robotic assistant for magnetic resonance imaging (MRI)-guided low back pain injection. Our goal was to eliminate the radiation exposure of traditional X-ray guided procedures while enabling the exquisite image quality available under MRI. The robot is designed with a compact and lightweight profile that can be mounted directly on the patient's lower back via straps, thus minimizing the effect of patient motion by moving along with the patient. The robot was built with MR-conditional materials and actuated with piezoelectric motors so it can operate inside the MRI scanner bore during imaging and therefore streamline the clinical workflow by utilizing intraoperative MR images. METHODS The robot is designed with a four degrees of freedom parallel mechanism, stacking two identical Cartesian stages, to align the needle under intraoperative MRI-guidance. The system targeting accuracy was first evaluated in free space with an optical tracking system, and further assessed with a phantom study under live MRI-guidance. Qualitative imaging quality evaluation was performed on a human volunteer to assess the image quality degradation caused by the robotic assistant. RESULTS Free space positioning accuracy study demonstrated that the mean error of the tip position to be [Formula: see text] mm and needle angle to be [Formula: see text]. MRI-guided phantom study indicated the mean errors of the target to be [Formula: see text] mm, entry point to be [Formula: see text] mm, and needle angle to be [Formula: see text]. Qualitative imaging quality evaluation validated that the image degradation caused by the robotic assistant in the lumbar spine anatomy is negligible. CONCLUSIONS The study demonstrates that the proposed body-mounted robotic system is able to perform MRI-guided low back injection in a phantom study with sufficient accuracy and with minimal visible image degradation that should not affect the procedure.
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Affiliation(s)
- Gang Li
- Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, USA.
| | - Niravkumar A Patel
- Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, USA
| | - Jan Hagemeister
- Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, USA
| | - Jiawen Yan
- Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, USA
| | - Di Wu
- Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, USA
| | - Karun Sharma
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Health System, Washington, DC, USA
| | - Kevin Cleary
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Health System, Washington, DC, USA
| | - Iulian Iordachita
- Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, USA
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36
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Taguchi K, Hamamoto S, Okada A, Tanaka Y, Sugino T, Unno R, Kato T, Ando R, Tan YK, Yasui T. Robot-Assisted Fluoroscopy Versus Ultrasound-Guided Renal Access for Nephrolithotomy: A Phantom Model Benchtop Study. J Endourol 2019; 33:987-994. [DOI: 10.1089/end.2019.0432] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Affiliation(s)
- Kazumi Taguchi
- Department of Nephro-urology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Shuzo Hamamoto
- Department of Nephro-urology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Atsushi Okada
- Department of Nephro-urology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Yutaro Tanaka
- Department of Nephro-urology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Teruaki Sugino
- Department of Nephro-urology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Rei Unno
- Department of Nephro-urology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Taiki Kato
- Department of Nephro-urology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Ryosuke Ando
- Department of Nephro-urology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Yung-Khan Tan
- Urohealth Medical Clinic, Mt. Elizabeth Hospital, Novena, Singapore
| | - Takahiro Yasui
- Department of Nephro-urology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
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37
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Neumann W, Pusch TP, Siegfarth M, Schad LR, Stallkamp JL. CT and MRI compatibility of flexible 3D-printed materials for soft actuators and robots used in image-guided interventions. Med Phys 2019; 46:5488-5498. [PMID: 31587313 DOI: 10.1002/mp.13852] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Revised: 08/12/2019] [Accepted: 09/26/2019] [Indexed: 01/09/2023] Open
Abstract
PURPOSE Three-dimensional (3D) printing allows for the fabrication of medical devices with complex geometries, such as soft actuators and robots that can be used in image-guided interventions. This study investigates flexible and rigid 3D-printing materials in terms of their impact on multimodal medical imaging. METHODS The generation of artifacts in clinical computer tomography (CT) and magnetic resonance (MR) imaging was evaluated for six flexible and three rigid materials, each with a cubical and a cylindrical geometry, and for one exemplary flexible fluidic actuator. Additionally, CT Hounsfield units (HU) were quantified for various parameter sets iterating peak voltage, x-ray tube current, slice thickness, and convolution kernel. RESULTS We found the image artifacts caused by the materials to be negligible in both CT and MR images. The HU values mainly depended on the elemental composition of the materials and applied peak voltage was ranging between 80 and 140 kVp. Flexible, nonsilicone-based materials were ranged between 51 and 114 HU. The voltage dependency was less than 29 HU. Flexible, silicone-based materials were ranged between 60 and 365 HU. The voltage-dependent influence was as large as 172 HU. Rigid materials ranged between -69 and 132 HU. The voltage-dependent influence was <33 HU. CONCLUSIONS All tested materials may be employed for devices placed in the field of view during CT and MR imaging as no significant artifacts were measured. Moreover, the material selection in CT could be based on the desired visibility of the material depending on the application. Given the wide availability of the tested materials, we expect our results to have a positive impact on the development of devices and robots for image-guided interventions.
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Affiliation(s)
- Wiebke Neumann
- Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, 68167, Mannheim, Germany
| | - Tim P Pusch
- Fraunhofer Institute for Manufacturing Engineering and Automation, Project Group for Automation in Medicine and Biotechnology, 68167, Mannheim, Germany
| | - Marius Siegfarth
- Fraunhofer Institute for Manufacturing Engineering and Automation, Project Group for Automation in Medicine and Biotechnology, 68167, Mannheim, Germany
| | - Lothar R Schad
- Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, 68167, Mannheim, Germany
| | - Jan L Stallkamp
- Fraunhofer Institute for Manufacturing Engineering and Automation, Project Group for Automation in Medicine and Biotechnology, 68167, Mannheim, Germany.,Medical Faculty Mannheim, Heidelberg University, 68167, Mannheim, Germany
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Lim S, Jun C, Chang D, Petrisor D, Han M, Stoianovici D. Robotic Transrectal Ultrasound Guided Prostate Biopsy. IEEE Trans Biomed Eng 2019; 66:2527-2537. [PMID: 30624210 PMCID: PMC6726124 DOI: 10.1109/tbme.2019.2891240] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
We present a robot-assisted approach for transrectal ultrasound (TRUS) guided prostate biopsy. The robot is a hands-free probe manipulator that moves the probe with the same 4 DoF that are used manually. Software was developed for three-dimensional (3-D) imaging, biopsy planning, robot control, and navigation. Methods to minimize the deformation of the prostate caused by the probe at 3-D imaging and needle targeting were developed to reduce biopsy targeting errors. We also present a prostate coordinate system (PCS). The PCS helps defining a systematic biopsy plan without the need for prostate segmentation. Comprehensive tests were performed, including two bench tests, one imaging test, two in vitro targeting tests, and an IRB-approved clinical trial on five patients. Preclinical tests showed that image-based needle targeting can be accomplished with accuracy on the order of 1 mm. Prostate biopsy can be accomplished with minimal TRUS pressure on the gland and submillimetric prostate deformations. All five clinical cases were successful with an average procedure time of 13 min and millimeter targeting accuracy. Hands-free TRUS operation, transrectal TRUS guided prostate biopsy with minimal prostate deformations, and the PCS-based biopsy plan are novel methods. Robot-assisted prostate biopsy is safe and feasible. Accurate needle targeting has the potential to increase the detection of clinically significant prostate cancer.
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Kulkarni P, Sikander S, Biswas P, Frawley S, Song SE. Review of Robotic Needle Guide Systems for Percutaneous Intervention. Ann Biomed Eng 2019; 47:2489-2513. [PMID: 31372856 DOI: 10.1007/s10439-019-02319-9] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Accepted: 07/02/2019] [Indexed: 01/24/2023]
Abstract
Numerous research groups in the past have designed and developed robotic needle guide systems that improve the targeting accuracy and precision by either providing a physical guidance for manual insertion or enabling a complete automated intervention. Here we review systems that have been reported in the last 11 years and limited to straight line needle interventions. Most systems fall under the category of image guided systems as they either use magnetic resonance image, computed tomography, ultrasound or a combination of these modalities for real time image feedback of the intervention path being followed. Actuation and control technology along with materials used for construction are the main aspects that differentiate these systems from each other and have been reviewed here. Image compatibility test details and results are also reviewed as they are used to ensure proper functioning of these systems under the respective imaging environments. We have also reviewed needle guide systems which either don't use any image feedback or have not reported any but provide physical guidance. Throughout this paper, we provide a comprehensive review of the technological aspects and trends in the field of robotic, straight line, needle guide intervention systems.
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Affiliation(s)
- Pankaj Kulkarni
- Department of Mechanical and Aerospace Engineering, University of Central Florida, 12760 Pegasus Dr., ENGR 1, Room 307, Orlando, FL, 32816-2450, USA
| | - Sakura Sikander
- Department of Mechanical and Aerospace Engineering, University of Central Florida, 12760 Pegasus Dr., ENGR 1, Room 307, Orlando, FL, 32816-2450, USA
| | - Pradipta Biswas
- Department of Mechanical and Aerospace Engineering, University of Central Florida, 12760 Pegasus Dr., ENGR 1, Room 307, Orlando, FL, 32816-2450, USA
| | - Shawn Frawley
- Department of Mechanical and Aerospace Engineering, University of Central Florida, 12760 Pegasus Dr., ENGR 1, Room 307, Orlando, FL, 32816-2450, USA
| | - Sang-Eun Song
- Department of Mechanical and Aerospace Engineering, University of Central Florida, 12760 Pegasus Dr., ENGR 1, Room 307, Orlando, FL, 32816-2450, USA.
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Chen Y, Howard J, Godage I, Sengupta S. Closed Loop Control of an MR-Conditional Robot with Wireless Tracking Coil Feedback. Ann Biomed Eng 2019; 47:2322-2333. [PMID: 31218486 DOI: 10.1007/s10439-019-02311-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Accepted: 06/12/2019] [Indexed: 12/23/2022]
Abstract
This paper presents a hardware and software system to implement the task space control of an MR-conditional robot by integrating inductively coupled wireless coil based tracking feedback into the control loop. The main motivation of this work is to increase the accuracy performance and address the system uncertainties in the practical scenarios. We present the MR-conditional robot hardware design, wireless tracking method, and custom-designed communication software for real-time tracking data transfer. Based on these working principles, we fabricate the robot platform and evaluate the complete system with respect to various performance indices, i.e. data communication speed, targeting accuracy, tracking coil resolution, image quality, temperature variation, and task space control accuracy for static and dynamic targeting inside MRI scanner. The in-scanner targeting results show that the MR-conditional robot with wireless tracking coil feedback achieves the targeting error of 0.17 ± 0.08 mm, while the error calculated from the joint space optical encoder feedback is 0.68 ± 0.19 mm.
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Affiliation(s)
- Yue Chen
- Department of Mechanical Engineering, University of Arkansas, Fayetteville, AR, 72701, USA.
| | - Joseph Howard
- Department of Mechanical Engineering, Vanderbilt University, Nashville, TN, 37212, USA
| | - Isuru Godage
- School of Computing, DePaul University, Chicago, IL, 60604, USA
| | - Saikat Sengupta
- Department of Radiology, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
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Patel NA, Li G, Shang W, Wartenberg M, Heffter T, Burdette EC, Iordachita I, Tokuda J, Hata N, Tempany CM, Fischer GS. System Integration and Preliminary Clinical Evaluation of a Robotic System for MRI-Guided Transperineal Prostate Biopsy. JOURNAL OF MEDICAL ROBOTICS RESEARCH 2019; 4:1950001. [PMID: 31485544 PMCID: PMC6726403 DOI: 10.1142/s2424905x19500016] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
This paper presents the development, preclinical evaluation, and preliminary clinical study of a robotic system for targeted transperineal prostate biopsy under direct interventional magnetic resonance imaging (MRI) guidance. The clinically integrated robotic system is developed based on a modular design approach, comprised of surgical navigation application, robot control software, MRI robot controller hardware, and robotic needle placement manipulator. The system provides enabling technologies for MRI-guided procedures. It can be easily transported and setup for supporting the clinical workflow of interventional procedures, and the system is readily extensible and reconfigurable to other clinical applications. Preclinical evaluation of the system is performed with phantom studies in a 3 Tesla MRI scanner, rehearsing the proposed clinical workflow, and demonstrating an in-plane targeting error of 1.5mm. The robotic system has been approved by the institutional review board (IRB) for clinical trials. A preliminary clinical study is conducted with the patient consent, demonstrating the targeting errors at two biopsy target sites to be 4.0mm and 3.7mm, which is sufficient to target a clinically significant tumor foci. First-in-human trials to evaluate the system's effectiveness and accuracy for MR image-guide prostate biopsy are underway.
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Affiliation(s)
- Niravkumar A Patel
- Automation and Interventional Medicine Laboratory, Worcester Polytechnic Institute, Worcester, MA 01609, USA [napatel, gfischerj]@wpi.edu
- indicates shared first authorship
| | - Gang Li
- Automation and Interventional Medicine Laboratory, Worcester Polytechnic Institute, Worcester, MA 01609, USA [napatel, gfischerj]@wpi.edu
- indicates shared first authorship
| | - Weijian Shang
- Automation and Interventional Medicine Laboratory, Worcester Polytechnic Institute, Worcester, MA 01609, USA [napatel, gfischerj]@wpi.edu
| | - Marek Wartenberg
- Automation and Interventional Medicine Laboratory, Worcester Polytechnic Institute, Worcester, MA 01609, USA [napatel, gfischerj]@wpi.edu
| | - Tamas Heffter
- Automation and Interventional Medicine Laboratory, Worcester Polytechnic Institute, Worcester, MA 01609, USA [napatel, gfischerj]@wpi.edu
| | - Everette C Burdette
- Automation and Interventional Medicine Laboratory, Worcester Polytechnic Institute, Worcester, MA 01609, USA [napatel, gfischerj]@wpi.edu
| | - Iulian Iordachita
- Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, USA
| | - Junichi Tokuda
- Department of Radiology, Surgical Navigation and Robotics Laboratory, Brigham and Womens Hospital, Harvard Medical School, Boston, MA, USA
| | - Nobuhiko Hata
- Department of Radiology, Surgical Navigation and Robotics Laboratory, Brigham and Womens Hospital, Harvard Medical School, Boston, MA, USA
| | - Clare M Tempany
- Department of Radiology, Surgical Navigation and Robotics Laboratory, Brigham and Womens Hospital, Harvard Medical School, Boston, MA, USA
| | - Gregory S Fischer
- Automation and Interventional Medicine Laboratory, Worcester Polytechnic Institute, Worcester, MA 01609, USA [napatel, gfischerj]@wpi.edu
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Dong Z, Guo Z, Lee KH, Fang G, Tang WL, Chang HC, Chan DTM, Kwok KW. High-Performance Continuous Hydraulic Motor for MR Safe Robotic Teleoperation. IEEE Robot Autom Lett 2019. [DOI: 10.1109/lra.2019.2899189] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Patel N, Yan J, Monfaredi R, Sharma K, Cleary K, Iordachita I. Preclinical evaluation of an integrated robotic system for magnetic resonance imaging guided shoulder arthrography. J Med Imaging (Bellingham) 2019; 6:025006. [PMID: 31131290 PMCID: PMC6519665 DOI: 10.1117/1.jmi.6.2.025006] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Accepted: 04/15/2019] [Indexed: 11/14/2022] Open
Abstract
Shoulder arthrography is a diagnostic procedure which involves injecting a contrast agent into the joint space for enhanced visualization of anatomical structures. Typically, a contrast agent is injected under fluoroscopy or computed tomography (CT) guidance, resulting in exposure to ionizing radiation, which should be avoided especially in pediatric patients. The patient then waits for the next available magnetic resonance imaging (MRI) slot for obtaining high-resolution anatomical images for diagnosis, which can result in long procedure times. Performing the contrast agent injection under MRI guidance could overcome both these issues. However, it comes with the challenges of the MRI environment including high magnetic field strength, limited ergonomic patient access, and lack of real-time needle guidance. We present the development of an integrated robotic system to perform shoulder arthrography procedures under intraoperative MRI guidance, eliminating fluoroscopy/CT guidance and patient transportation from the fluoroscopy/CT room to the MRI suite. The average accuracy of the robotic manipulator in benchtop experiments is 0.90 mm and 1.04 deg, whereas the average accuracy of the integrated system in MRI phantom experiments is 1.92 mm and 1.28 deg at the needle tip. Based on the American Society for Testing and Materials (ASTM) tests performed, the system is classified as MR conditional.
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Affiliation(s)
- Niravkumar Patel
- Johns Hopkins University, Laboratory for Computational Sensing and Robotics, Baltimore, Maryland, United States
| | - Jiawen Yan
- Johns Hopkins University, Laboratory for Computational Sensing and Robotics, Baltimore, Maryland, United States
| | - Reza Monfaredi
- Children’s National Medical Center, Washington, DC, United States
| | - Karun Sharma
- Children’s National Medical Center, Washington, DC, United States
| | - Kevin Cleary
- Children’s National Medical Center, Washington, DC, United States
| | - Iulian Iordachita
- Johns Hopkins University, Laboratory for Computational Sensing and Robotics, Baltimore, Maryland, United States
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Jun C, Lim S, Petrisor D, Chirikjian G, Kim JS, Stoianovici D. A simple insertion technique to reduce the bending of thinbevel-point needles. MINIM INVASIV THER 2019; 28:199-205. [PMID: 30822190 DOI: 10.1080/13645706.2018.1505758] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Objective: Needle insertion is a common component of most diagnostic and therapeutic interventions. Needles with asymmetrically sharpened points such as the bevel point are ubiquitous. Their insertion path is typically curved due to the rudder effect at the point. However, the common planned path is straight, leading to targeting errors. We present a simple technique that may substantially reduce these errors. The method was inspired by practical experience, conceived mathematically, and refined experimentally. Methods: Targeting errors are reduced by flipping the bevel on the opposite side (rotating the needle 180° about its axis), at a certain depth during insertion. The ratio of the flip depth to the full depth of insertion is defined as the flip depth ratio (FDR). Based on a model, FDR is constant 0.3. Results: Experimentally, the ratio depends on the needle diameter, 0.35 for 20Ga and 0.45 for 18Ga needles. Thinner needles should be flipped a little shallower, but never less than 0.3. Conclusion: Practically, a physician may expect to reduce ∼80% of needle deflection errors by simply flipping the needle. The technique may be used by hand or with guidance devices.
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Affiliation(s)
- Changhan Jun
- a Robotics Laboratory, Urology Department , Johns Hopkins University , Baltimore , MD , USA.,b Mechanical Engineering Department , Johns Hopkins University , Baltimore , MD , USA
| | - Sunghwan Lim
- a Robotics Laboratory, Urology Department , Johns Hopkins University , Baltimore , MD , USA.,b Mechanical Engineering Department , Johns Hopkins University , Baltimore , MD , USA
| | - Doru Petrisor
- a Robotics Laboratory, Urology Department , Johns Hopkins University , Baltimore , MD , USA
| | - Gregory Chirikjian
- b Mechanical Engineering Department , Johns Hopkins University , Baltimore , MD , USA
| | - Jin Seob Kim
- b Mechanical Engineering Department , Johns Hopkins University , Baltimore , MD , USA
| | - Dan Stoianovici
- a Robotics Laboratory, Urology Department , Johns Hopkins University , Baltimore , MD , USA.,b Mechanical Engineering Department , Johns Hopkins University , Baltimore , MD , USA
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Lim S, Sharma K, Li P, Petrisor D, Fricke S, Stoianovici D, Cleary K. Robotically assisted long bone biopsy under MRI: cadaver study results. Int J Comput Assist Radiol Surg 2018; 14:147-156. [PMID: 30456451 DOI: 10.1007/s11548-018-1889-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2018] [Accepted: 11/06/2018] [Indexed: 11/28/2022]
Abstract
RATIONALE AND OBJECTIVES We have designed and constructed an MR-safe robot made entirely of nonmetallic components with pneumatic actuators and optical encoders. The robot was developed to enable bone biopsies to be performed under magnetic resonance imaging (MRI) guidance in pediatric patients. The purpose of this study was to show the feasibility of using the robot for biopsy of the femur and tibia in a cadaver leg. Our long-term goal is to eliminate radiation exposure during bone biopsy procedures and provide more timely and accurate diagnosis for children with bone cancers and bone infections. METHODS The MR-safe robot was mounted on the MRI table. A cadaver leg was procured from an anatomy supply house and placed on the MRI table. All required hospital precautions for infection control were taken. A total of 10 biopsy targets were sampled using MRI guidance: five from the femur and five from the tibia. A handheld, commercially available battery-powered bone drill was used to facilitate drilling through the cortex. After the study, the leg was scanned with CT to better visualize and document the bone biopsy sites. Both the MRI and CT images were used to analyze the results. RESULTS All of the targets were successfully reached with an average targeting accuracy of 1.43 mm. A workflow analysis showed the average time for the first biopsy was 41 min including robot setup time and 22 min for each additional biopsy including the time for the repeat MRI scan used to confirm accurate targeting. The robot was shown to be MRI transparent, as no image quality degradation due to the use of the robot was detected. CONCLUSION The results showed the feasibility of using an MR-safe robotic system to assist the interventional radiologist in performing precision bone biopsy under MRI guidance. Future work will include developing an MR-safe drill, improving the mounting of the robot and fixation of the leg, and moving toward first in child clinical trials.
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Affiliation(s)
- Sunghwan Lim
- Robotics Laboratory, Brady Urological Institute, Johns Hopkins University, Baltimore, MD, USA
| | - Karun Sharma
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Health System, 111 Michigan Avenue, Washington, DC, USA
| | - Pan Li
- Robotics Laboratory, Brady Urological Institute, Johns Hopkins University, Baltimore, MD, USA
| | - Doru Petrisor
- Robotics Laboratory, Brady Urological Institute, Johns Hopkins University, Baltimore, MD, USA
| | - Stanley Fricke
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Health System, 111 Michigan Avenue, Washington, DC, USA
| | - Dan Stoianovici
- Robotics Laboratory, Brady Urological Institute, Johns Hopkins University, Baltimore, MD, USA
| | - Kevin Cleary
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Health System, 111 Michigan Avenue, Washington, DC, USA.
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Vision for the future on urolithiasis: research, management, education and training—some personal views. Urolithiasis 2018; 47:401-413. [DOI: 10.1007/s00240-018-1086-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Accepted: 10/23/2018] [Indexed: 12/17/2022]
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Moreira P, Patel N, Wartenberg M, Li G, Tuncali K, Heffter T, Burdette EC, Iordachita I, Fischer GS, Hata N, Tempany CM, Tokuda J. Evaluation of robot-assisted MRI-guided prostate biopsy: needle path analysis during clinical trials. Phys Med Biol 2018; 63:20NT02. [PMID: 30226214 PMCID: PMC6198326 DOI: 10.1088/1361-6560/aae214] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
While the interaction between a needle and the surrounding tissue is known to cause a significant targeting error in prostate biopsy leading to false-negative results, few studies have demonstrated how it impacts in the actual procedure. We performed a pilot study on robot-assisted MRI-guided prostate biopsy with an emphasis on the in-depth analysis of the needle-tissue interaction in vivo. The data were acquired during in-bore transperineal prostate biopsies in patients using a 4 degrees-of-freedom (DoF) MRI-compatible robot. The anatomical structures in the pelvic area and the needle path were reconstructed from MR images, and quantitatively analyzed. We analyzed each structure individually and also proposed a mathematical model to investigate the influence of those structures in the targeting error using the mixed-model regression. The median targeting error in 188 insertions (27 patients) was 6.3 mm. Both the individual anatomical structure analysis and the mixed-model analysis showed that the deviation resulted from the contact between the needle and the skin as the main source of error. On contrary, needle bending inside the tissue (expressed as needle curvature) did not vary among insertions with targeting errors above and below the average. The analysis indicated that insertions crossing the bulbospongiosus presented a targeting error lower than the average. The mixed-model analysis demonstrated that the distance between the needle guide and the patient skin, the deviation at the entry point, and the path length inside the pelvic diaphragm had a statistically significant contribution to the targeting error (p < 0.05). Our results indicate that the errors associated with the elastic contact between the needle and the skin were more prominent than the needle bending along the insertion. Our findings will help to improve the preoperative planning of transperineal prostate biopsies.
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Affiliation(s)
- Pedro Moreira
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Niravkumar Patel
- Laboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD, USA
| | - Marek Wartenberg
- Automation and Interventional Medicine Lab, Worcester Polytechnic Institute, Worcester, MA, USA
| | - Gang Li
- Automation and Interventional Medicine Lab, Worcester Polytechnic Institute, Worcester, MA,USA
| | - Kemal Tuncali
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA,USA
| | | | | | - Iulian Iordachita
- Laboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD, USA
| | - Gregory S. Fischer
- Automation and Interventional Medicine Lab, Worcester Polytechnic Institute, Worcester, MA, USA
| | - Nobuhiko Hata
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Clare M. Tempany
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Junichi Tokuda
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA,USA
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Patel NA, Yan J, Levi D, Monfaredi R, Cleary K, Iordachita I. Body-Mounted Robot for Image-Guided Percutaneous Interventions: Mechanical Design and Preliminary Accuracy Evaluation. PROCEEDINGS OF THE ... IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS. IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS 2018; 2018:1443-1448. [PMID: 30997267 PMCID: PMC6463871 DOI: 10.1109/iros.2018.8593807] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
This paper presents a body-mounted, four degree-of-freedom (4-DOF) parallel mechanism robot for image-guided percutaneous interventions. The design of the robot is optimized to be light weight and compact such that it could be mounted to the patient body. It has a modular design that can be adopted for assisting various image-guided, needle-based percutaneous interventions such as arthrography, biopsy and brachytherapy seed placement. The robot mechanism and the control system are designed and manufactured with components compatible with imaging modalities including Magnetic Resonance Imaging (MRI) and Computed Tomography (CT). The current version of the robot presented in this paper is optimized for shoulder arthrography under MRI guidance; a Z-shaped fiducial frame is attached to the robot, providing accurate and repeatable robot registration with the MR scanner coordinate system. Here we present the mechanical design of the manipulator, robot kinematics, robot calibration procedure, and preliminary bench-top accuracy assessment. The bench-top accuracy evaluation of the robotic manipulator shows average translational error of 1.01 mm and 0.96 mm in X and Z axes, respectively, and average rotational error of 3.06 degrees and 2.07 degrees about the X and Z axes, respectively.
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Affiliation(s)
- Niravkumar A Patel
- N. Patel, J. Yan, D. Levi and I. Iordachita are with the Laboratory for Computational Sensing and Robotics, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD 21218. J. Yan is also with Harbin Institute of Technology, Harbin, 150000 China. [, , , ]
| | - Jiawen Yan
- N. Patel, J. Yan, D. Levi and I. Iordachita are with the Laboratory for Computational Sensing and Robotics, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD 21218. J. Yan is also with Harbin Institute of Technology, Harbin, 150000 China. [, , , ]
| | - David Levi
- N. Patel, J. Yan, D. Levi and I. Iordachita are with the Laboratory for Computational Sensing and Robotics, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD 21218. J. Yan is also with Harbin Institute of Technology, Harbin, 150000 China. [, , , ]
| | - Reza Monfaredi
- R. Monfaredi and K. Cleary are with Children/s National Health System, 111 Michigan Avenue, NW Washington, DC 20010 [, ]
| | - Kevin Cleary
- R. Monfaredi and K. Cleary are with Children/s National Health System, 111 Michigan Avenue, NW Washington, DC 20010 [, ]
| | - Iulian Iordachita
- N. Patel, J. Yan, D. Levi and I. Iordachita are with the Laboratory for Computational Sensing and Robotics, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD 21218. J. Yan is also with Harbin Institute of Technology, Harbin, 150000 China. [, , , ]
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Guo Z, Leong MCW, Su H, Kwok KW, Chan DTM, Poon WS. Techniques for Stereotactic Neurosurgery: Beyond the Frame, Toward the Intraoperative Magnetic Resonance Imaging–Guided and Robot-Assisted Approaches. World Neurosurg 2018; 116:77-87. [DOI: 10.1016/j.wneu.2018.04.155] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Revised: 04/20/2018] [Accepted: 04/21/2018] [Indexed: 11/16/2022]
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Groenhuis V, Siepel FJ, Veltman J, van Zandwijk JK, Stramigioli S. Stormram 4: An MR Safe Robotic System for Breast Biopsy. Ann Biomed Eng 2018; 46:1686-1696. [PMID: 29786775 PMCID: PMC6153978 DOI: 10.1007/s10439-018-2051-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2017] [Accepted: 05/15/2018] [Indexed: 01/21/2023]
Abstract
Suspicious lesions in the breast that are only visible on magnetic resonance imaging (MRI) need to be biopsied under MR guidance with high accuracy and efficiency for accurate diagnosis. The aim of this study is to present a novel robotic system, the Stormram 4, and to perform preclinical tests in an MRI environment. Excluding racks and needle, its dimensions are 72 × 51 × 40 mm. The Stormram 4 is driven by two linear and two curved pneumatic stepper motors. The linear motor is capable of exerting 63 N of force at a pressure of 0.65 MPa. In an MRI environment the maximum observed stepping frequency is 30 Hz (unloaded), or 8 Hz when full force is needed. The Stormram 4’s mean positioning error is 0.73 ± 0.47 mm in free air, and 1.29 ± 0.59 mm when targeting breast phantoms in MRI. Excluding the off-the-shelf needle, the robot is inherently MR safe. The robot is able to accurately target lesions under MRI guidance, reducing tissue damage and risk of false negatives. These results are promising for clinical experiments, improving the quality of healthcare in the field of MRI-guided breast biopsies.
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Affiliation(s)
- Vincent Groenhuis
- Department of Robotics and Mechatronics, University of Twente, att. Vincent Groenhuis, Room CR-3.526, Postbus 217, 7500AE, Enschede, The Netherlands.
| | - Françoise J Siepel
- Department of Robotics and Mechatronics, University of Twente, att. Vincent Groenhuis, Room CR-3.526, Postbus 217, 7500AE, Enschede, The Netherlands
| | - Jeroen Veltman
- Department of Robotics and Mechatronics, University of Twente, att. Vincent Groenhuis, Room CR-3.526, Postbus 217, 7500AE, Enschede, The Netherlands
| | - Jordy K van Zandwijk
- Department of Robotics and Mechatronics, University of Twente, att. Vincent Groenhuis, Room CR-3.526, Postbus 217, 7500AE, Enschede, The Netherlands
| | - Stefano Stramigioli
- Department of Robotics and Mechatronics, University of Twente, att. Vincent Groenhuis, Room CR-3.526, Postbus 217, 7500AE, Enschede, The Netherlands
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