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Keenan KE, Jordanova KV, Ogier SE, Tamada D, Bruhwiler N, Starekova J, Riek J, McCracken PJ, Hernando D. Phantoms for Quantitative Body MRI: a review and discussion of the phantom value. MAGMA (NEW YORK, N.Y.) 2024; 37:535-549. [PMID: 38896407 PMCID: PMC11417080 DOI: 10.1007/s10334-024-01181-8] [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] [Received: 12/22/2023] [Revised: 05/18/2024] [Accepted: 06/11/2024] [Indexed: 06/21/2024]
Abstract
In this paper, we review the value of phantoms for body MRI in the context of their uses for quantitative MRI methods research, clinical trials, and clinical imaging. Certain uses of phantoms are common throughout the body MRI community, including measuring bias, assessing reproducibility, and training. In addition to these uses, phantoms in body MRI methods research are used for novel methods development and the design of motion compensation and mitigation techniques. For clinical trials, phantoms are an essential part of quality management strategies, facilitating the conduct of ethically sound, reliable, and regulatorily compliant clinical research of both novel MRI methods and therapeutic agents. In the clinic, phantoms are used for development of protocols, mitigation of cost, quality control, and radiotherapy. We briefly review phantoms developed for quantitative body MRI, and finally, we review open questions regarding the most effective use of a phantom for body MRI.
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Affiliation(s)
- Kathryn E Keenan
- Physical Measurement Laboratory, National Institute of Standards and Technology, NIST, 325 Broadway, Boulder, CO, 80305, USA.
| | - Kalina V Jordanova
- Physical Measurement Laboratory, National Institute of Standards and Technology, NIST, 325 Broadway, Boulder, CO, 80305, USA
| | - Stephen E Ogier
- Physical Measurement Laboratory, National Institute of Standards and Technology, NIST, 325 Broadway, Boulder, CO, 80305, USA
- Department of Physics, University of Colorado Boulder, Boulder, CO, USA
| | | | - Natalie Bruhwiler
- Physical Measurement Laboratory, National Institute of Standards and Technology, NIST, 325 Broadway, Boulder, CO, 80305, USA
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Li N, Tous C, Dimov IP, Fei P, Zhang Q, Lessard S, Moran G, Jin N, Kadoury S, Tang A, Martel S, Soulez G. Design of a Patient-Specific Respiratory-Motion-Simulating Platform for In Vitro 4D Flow MRI. Ann Biomed Eng 2022; 51:1028-1039. [PMID: 36580223 DOI: 10.1007/s10439-022-03117-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 12/04/2022] [Indexed: 12/30/2022]
Abstract
Four-dimensional (4D) flow magnetic resonance imaging (MRI) is a leading-edge imaging technique and has numerous medicinal applications. In vitro 4D flow MRI can offer some advantages over in vivo ones, especially in accurately controlling flow rate (gold standard), removing patient and user-specific variations, and minimizing animal testing. Here, a complete testing method and a respiratory-motion-simulating platform are proposed for in vitro validation of 4D flow MRI. A silicon phantom based on the hepatic arteries of a living pig is made. Under the free-breathing, a human volunteer's liver motion (inferior-superior direction) is tracked using a pencil-beam MRI navigator and is extracted and converted into velocity-distance pairs to program the respiratory-motion-simulating platform. With the magnitude displacement of about 1.3 cm, the difference between the motions obtained from the volunteer and our platform is ≤ 1 mm which is within the positioning error of the MRI navigator. The influence of the platform on the MRI signal-to-noise ratio can be eliminated even if the actuator is placed in the MRI room. The 4D flow measurement errors are respectively 0.4% (stationary phantom), 9.4% (gating window = 3 mm), 27.3% (gating window = 4 mm) and 33.1% (gating window = 7 mm). The vessel resolutions decreased with the increase of the gating window. The low-cost simulation system, assembled from commercially available components, is easy to be duplicated.
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Affiliation(s)
- Ning Li
- Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), 900 Rue Saint-Denis, Montreal, QC, H2X 0A9, Canada
- Université de Montréal, 2900 Boulevard Édouard-Montpetit, Montreal, QC, H3T 1J4, Canada
| | - Cyril Tous
- Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), 900 Rue Saint-Denis, Montreal, QC, H2X 0A9, Canada
- Université de Montréal, 2900 Boulevard Édouard-Montpetit, Montreal, QC, H3T 1J4, Canada
| | - Ivan P Dimov
- Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), 900 Rue Saint-Denis, Montreal, QC, H2X 0A9, Canada
- Université de Montréal, 2900 Boulevard Édouard-Montpetit, Montreal, QC, H3T 1J4, Canada
| | - Phillip Fei
- Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), 900 Rue Saint-Denis, Montreal, QC, H2X 0A9, Canada
- Université de Montréal, 2900 Boulevard Édouard-Montpetit, Montreal, QC, H3T 1J4, Canada
| | - Quan Zhang
- Shanghai University, 266 Jufengyuan Rd, Shanghai, 200444, China
| | - Simon Lessard
- Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), 900 Rue Saint-Denis, Montreal, QC, H2X 0A9, Canada
- Université de Montréal, 2900 Boulevard Édouard-Montpetit, Montreal, QC, H3T 1J4, Canada
| | - Gerald Moran
- Siemens Canada, 1577 North Service Rd E, Oakville, ON, L6H 0H6, Canada
| | - Ning Jin
- Siemens Medical Solutions Inc., 40 Liberty Boulevard, Malvern, PA, 19355, USA
| | - Samuel Kadoury
- Polytechnique Montréal, 2500 Chemin de Polytechnique, Montreal, QC, H3T 1J4, Canada
| | - An Tang
- Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), 900 Rue Saint-Denis, Montreal, QC, H2X 0A9, Canada
- Université de Montréal, 2900 Boulevard Édouard-Montpetit, Montreal, QC, H3T 1J4, Canada
- Department of Radiology, Centre hospitalier de l'Université de Montréal (CHUM), 1000 Rue Saint-Denis, Montreal, QC, H2X 0C1, Canada
| | - Sylvain Martel
- Polytechnique Montréal, 2500 Chemin de Polytechnique, Montreal, QC, H3T 1J4, Canada
| | - Gilles Soulez
- Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), 900 Rue Saint-Denis, Montreal, QC, H2X 0A9, Canada.
- Université de Montréal, 2900 Boulevard Édouard-Montpetit, Montreal, QC, H3T 1J4, Canada.
- Department of Radiology, Centre hospitalier de l'Université de Montréal (CHUM), 1000 Rue Saint-Denis, Montreal, QC, H2X 0C1, Canada.
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Musa M, Sengupta S, Chen Y. Design of a 6-DoF Parallel Robotic Platform for MRI Applications. JOURNAL OF MEDICAL ROBOTICS RESEARCH 2022; 7:2241005. [PMID: 37614779 PMCID: PMC10445425 DOI: 10.1142/s2424905x22410057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/25/2023]
Abstract
In this work, the design, analysis, and characterization of a parallel robotic motion generation platform with 6-degrees of freedom (DoF) for magnetic resonance imaging (MRI) applications are presented. The motivation for the development of this robot is the need for a robotic platform able to produce accurate 6-DoF motion inside the MRI bore to serve as the ground truth for motion modeling; other applications include manipulation of interventional tools such as biopsy and ablation needles and ultrasound probes for therapy and neuromodulation under MRI guidance. The robot is comprised of six pneumatic cylinder actuators controlled via a robust sliding mode controller. Tracking experiments of the pneumatic actuator indicates that the system is able to achieve an average error of 0.69 ± 0.14 mm and 0.67 ± 0.40 mm for step signal tracking and sinusoidal signal tracking, respectively. To demonstrate the feasibility and potential of using the proposed robot for minimally invasive procedures, a phantom experiment was performed in the benchtop environment, which showed a mean positional error of 1.20 ± 0.43 mm and a mean orientational error of 1.09 ± 0.57°, respectively. Experiments conducted in a 3T whole body human MRI scanner indicate that the robot is MRI compatible and capable of achieving positional error of 1.68 ± 0.31 mm and orientational error of 1.51 ± 0.32° inside the scanner, respectively. This study demonstrates the potential of this device to enable accurate 6-DoF motions in the MRI environment.
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Affiliation(s)
- Mishek Musa
- Department of Mechanical Engineering, University of Arkansas, Fayetteville, AR 72701, USA
| | - Saikat Sengupta
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Yue Chen
- Department of Biomedical Engineering, Georgia Institute of Technology/Emory University, Atlanta, GA 30332, USA
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Häfner SJ. Sweet dreams: How mini-invasive surgery tackles obstructive sleep apnea. Biomed J 2019; 42:75-79. [PMID: 31130250 PMCID: PMC6541887 DOI: 10.1016/j.bj.2019.04.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Accepted: 04/29/2019] [Indexed: 11/20/2022] Open
Abstract
In this issue of the Biomedical Journal we uncover how the discovery of tyrosine phosphorylation thirty years ago led to the recent development of potent cancer drugs. Furthermore we learn about the state of the art of surgery for obstructive sleep apnea and how modern automated hematology could be used to detect various pathologies. Finally we discuss the risk factors for hospital-acquired Clostridium difficile infection and how to minimize ultrasonic motor-induced magnetic resonance imaging artifacts.
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Affiliation(s)
- Sophia Julia Häfner
- University of Copenhagen, BRIC Biotech Research & Innovation Centre, Anders Lund Group, Ole Maaløes Vej 5, 2200, Copenhagen, Denmark.
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Bing C, Cheng B, Staruch RM, Nofiele J, Staruch MW, Szczepanski D, Farrow-Gillespie A, Yang A, Laetsch TW, Chopra R. Breath-hold MR-HIFU hyperthermia: phantom and in vivo feasibility. Int J Hyperthermia 2019; 36:1084-1097. [PMID: 31707872 PMCID: PMC6873809 DOI: 10.1080/02656736.2019.1679893] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Revised: 09/04/2019] [Accepted: 10/06/2019] [Indexed: 01/01/2023] Open
Abstract
Background: The use of magnetic resonance imaging-guided high-intensity focused ultrasound (MR-HIFU) to deliver mild hyperthermia requires stable temperature mapping for long durations. This study evaluates the effects of respiratory motion on MR thermometry precision in pediatric subjects and determines the in vivo feasibility of circumventing breathing-related motion artifacts by delivering MR thermometry-controlled HIFU mild hyperthermia during repeated forced breath holds.Materials and methods: Clinical and preclinical studies were conducted. Clinical studies were conducted without breath-holds. In phantoms, breathing motion was simulated by moving an aluminum block towards the phantom along a sinusoidal trajectory using an MR-compatible motion platform. In vivo experiments were performed in ventilated pigs. MR thermometry accuracy and stability were evaluated.Results: Clinical data confirmed acceptable MR thermometry accuracy (0.12-0.44 °C) in extremity tumors, but not in the tumors in the chest/spine and pelvis. In phantom studies, MR thermometry accuracy and stability improved to 0.37 ± 0.08 and 0.55 ± 0.18 °C during simulated breath-holds. In vivo MR thermometry accuracy and stability in porcine back muscle improved to 0.64 ± 0.22 and 0.71 ± 0.25 °C during breath-holds. MR-HIFU hyperthermia delivered during intermittent forced breath holds over 10 min duration heated an 18-mm diameter target region above 41 °C for 10.0 ± 1.0 min, without significant overheating. For a 10-min mild hyperthermia treatment, an optimal treatment effect (TIR > 9 min) could be achieved when combining 36-60 s periods of forced apnea with 60-155.5 s free-breathing.Conclusion: MR-HIFU delivery during forced breath holds enables stable control of mild hyperthermia in targets adjacent to moving anatomical structures.
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Affiliation(s)
- Chenchen Bing
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Bingbing Cheng
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Robert M. Staruch
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX
- Clinical Sites Research Program, Philips Research North America, Cambridge, MA
| | - Joris Nofiele
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX
| | | | - Debra Szczepanski
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Alan Farrow-Gillespie
- Department of Anesthesiology and Pain Management, University of Texas Southwestern Medical Center, Dallas, TX
| | - Adeline Yang
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX
| | - Theodore W. Laetsch
- Department of Pediatrics and Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX
- Pauline Allen Gill Center for Cancer and Blood Disorders, Children’s Health, Dallas, TX
| | - Rajiv Chopra
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX
- Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX
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Arai TJ, Nofiele J, Madhuranthakam AJ, Yuan Q, Pedrosa I, Chopra R, Sawant A. Characterizing spatiotemporal information loss in sparse-sampling-based dynamic MRI for monitoring respiration-induced tumor motion in radiotherapy. Med Phys 2017; 43:2807-2820. [PMID: 27277029 DOI: 10.1118/1.4948684] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
PURPOSE Sparse-sampling and reconstruction techniques represent an attractive strategy to achieve faster image acquisition speeds, while maintaining adequate spatial resolution and signal-to-noise ratio in rapid magnetic resonance imaging (MRI). The authors investigate the use of one such sequence, broad-use linear acquisition speed-up technique (k-t BLAST) in monitoring tumor motion for thoracic and abdominal radiotherapy and examine the potential trade-off between increased sparsification (to increase imaging speed) and the potential loss of "true" information due to greater reliance on a priori information. METHODS Lung tumor motion trajectories in the superior-inferior direction, previously recorded from ten lung cancer patients, were replayed using a motion phantom module driven by an MRI-compatible motion platform. Eppendorf test tubes filled with water which serve as fiducial markers were placed in the phantom. The modeled rigid and deformable motions were collected in a coronal image slice using balanced fast field echo in conjunction with k-t BLAST. Root mean square (RMS) error was used as a metric of spatial accuracy as measured trajectories were compared to input data. The loss of spatial information was characterized for progressively increasing acceleration factor from 1 to 16; the resultant sampling frequency was increased approximately from 2.5 to 19 Hz when the principal direction of the motion was set along frequency encoding direction. In addition to the phantom study, respiration-induced tumor motions were captured from two patients (kidney tumor and lung tumor) at 13 Hz over 49 s to demonstrate the impact of high speed motion monitoring over multiple breathing cycles. For each subject, the authors compared the tumor centroid trajectory as well as the deformable motion during free breathing. RESULTS In the rigid and deformable phantom studies, the RMS error of target tracking at the acquisition speed of 19 Hz was approximately 0.3-0.4 mm, which was smaller than the reconstructed pixel resolution of 0.67 mm. In the patient study, the dynamic 2D MRI enabled the monitoring of cycle-to-cycle respiratory variability present in the tumor position. It was seen that the range of centroid motion as well as the area covered due to target motion during each individual respiratory cycle was underestimated compared to the entire motion range observed over multiple breathing cycles. CONCLUSIONS The authors' initial results demonstrate that sparse-sampling- and reconstruction-based dynamic MRI can be used to achieve adequate image acquisition speeds without significant information loss for the task of radiotherapy guidance. Such monitoring can yield spatial and temporal information superior to conventional offline and online motion capture methods used in thoracic and abdominal radiotherapy.
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Affiliation(s)
- Tatsuya J Arai
- Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, Texas 75390
| | - Joris Nofiele
- Department of Radiology, UT Southwestern Medical Center, Dallas, Texas 75390
| | - Ananth J Madhuranthakam
- Department of Radiology, UT Southwestern Medical Center, Dallas, Texas 75390 and Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, Texas 75390
| | - Qing Yuan
- Department of Radiology, UT Southwestern Medical Center, Dallas, Texas 75390
| | - Ivan Pedrosa
- Department of Radiology, UT Southwestern Medical Center, Dallas, Texas 75390 and Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, Texas 75390
| | - Rajiv Chopra
- Department of Radiology, UT Southwestern Medical Center, Dallas, Texas 75390 and Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, Texas 75390
| | - Amit Sawant
- Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, Texas 75390; Department of Radiology, UT Southwestern Medical Center, Dallas, Texas 75390; and Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, Maryland, 21201
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