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Putra KB, Montgomery N, Kalamdani S, Chen L, Kelly B, Wensman J, Shih A. Fabrication and assessment of partial finger prostheses made using 3D-printed molds: A case study. Prosthet Orthot Int 2023; 47:327-335. [PMID: 36952475 DOI: 10.1097/pxr.0000000000000231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Accepted: 01/18/2023] [Indexed: 03/25/2023]
Abstract
3D printing for custom prosthetic finger fabrication can have better fit and comfort than non-custom off-the-shelf ones while reducing fabrication labor time. The purpose of this case study was (1) to design and fabricate custom prosthetic fingers using 3D-printed molds for the treatment of partial finger amputation; (2) to evaluate patient satisfaction of the custom prosthetic fingers fabricated using 3D-printed molds and compare them to the custom prosthetic fingers fabricated through a conventional method of molding using plaster casts. The method to develop the custom prosthetic finger are as follows: (1) The shapes of the residual digits and contralateral fingers were acquired using a high-resolution 3D optical scanner. (2) Prosthetic fingers were designed by modifying the model of the residual digits and the contralateral fingers. (3) Molds of the prosthetic fingers were designed using computer-aided design software and fabricated by 3D printing. The study compared hand function tests and rehabilitation outcome surveys to evaluate the performance of the prosthetic fingers fabricated using 3D-printed molds and plaster casts. This case suggests that the prosthetic fingers fabricated using 3D-printed molds had comparable performance to the prosthetic fingers fabricated using plaster casts. The aesthetics and transparency of the prosthetic fingers contributed highly to the low satisfaction of the prosthetic fingers fabricated using 3D-printed molds.
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Affiliation(s)
- Ketut B Putra
- Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA
| | | | - Samira Kalamdani
- Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA
| | - Lei Chen
- Mechanical Engineering, University of Massachusetts Lowell, Lowell, MA, USA
| | - Brian Kelly
- Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, MI, USA
- Orthotics and Prosthetics Center, University of Michigan, Ann Arbor, MI, USA
| | - Jeffrey Wensman
- Orthotics and Prosthetics Center, University of Michigan, Ann Arbor, MI, USA
| | - Albert Shih
- Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA
- Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA
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Li M, Mehralivand S, Xu S, Varble N, Bakhutashvili I, Gurram S, Pinto PA, Choyke PL, Wood BJ, Turkbey B. HoloLens augmented reality system for transperineal free-hand prostate procedures. J Med Imaging (Bellingham) 2023; 10:025001. [PMID: 36875636 PMCID: PMC9976411 DOI: 10.1117/1.jmi.10.2.025001] [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: 05/16/2022] [Accepted: 02/09/2023] [Indexed: 03/05/2023] Open
Abstract
Purpose An augmented reality (AR) system was developed to facilitate free-hand real-time needle guidance for transperineal prostate (TP) procedures and to overcome the limitations of a traditional guidance grid. Approach The HoloLens AR system enables the superimposition of annotated anatomy derived from preprocedural volumetric images onto a patient and addresses the most challenging part of free-hand TP procedures by providing real-time needle tip localization and needle depth visualization during insertion. The AR system accuracy, or the image overlay accuracy ( n = 56 ), and needle targeting accuracy ( n = 24 ) were evaluated within a 3D-printed phantom. Three operators each used a planned-path guidance method ( n = 4 ) and free-hand guidance ( n = 4 ) to guide needles into targets in a gel phantom. Placement error was recorded. The feasibility of the system was further evaluated by delivering soft tissue markers into tumors of an anthropomorphic pelvic phantom via the perineum. Results The image overlay error was 1.29 ± 0.57 mm , and needle targeting error was 2.13 ± 0.52 mm . The planned-path guidance placements showed similar error compared to the free-hand guidance ( 4.14 ± 1.08 mm versus 4.20 ± 1.08 mm , p = 0.90 ). The markers were successfully implanted either into or in close proximity to the target lesion. Conclusions The HoloLens AR system can provide accurate needle guidance for TP interventions. AR support for free-hand lesion targeting is feasible and may provide more flexibility than grid-based methods, due to the real-time 3D and immersive experience during free-hand TP procedures.
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Affiliation(s)
- Ming Li
- National Institutes of Health, Center for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center, Bethesda, Maryland, United States
| | - Sherif Mehralivand
- National Institutes of Health, Molecular Imaging Branch, National Cancer Institute, Bethesda, Maryland, United States
| | - Sheng Xu
- National Institutes of Health, Center for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center, Bethesda, Maryland, United States
| | - Nicole Varble
- National Institutes of Health, Center for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center, Bethesda, Maryland, United States
- Philips Research of North America, Cambridge, Massachusetts, United States
| | - Ivane Bakhutashvili
- National Institutes of Health, Center for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center, Bethesda, Maryland, United States
| | - Sandeep Gurram
- National Institutes of Health, Urologic Oncology Branch, National Cancer Institute, Bethesda, Maryland, United States
| | - Peter A. Pinto
- National Institutes of Health, Urologic Oncology Branch, National Cancer Institute, Bethesda, Maryland, United States
| | - Peter L. Choyke
- National Institutes of Health, Molecular Imaging Branch, National Cancer Institute, Bethesda, Maryland, United States
| | - Bradford J. Wood
- National Institutes of Health, Center for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center, Bethesda, Maryland, United States
| | - Baris Turkbey
- National Institutes of Health, Molecular Imaging Branch, National Cancer Institute, Bethesda, Maryland, United States
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Lee EJ, Farzinfard S, Yarmolenko P, Cleary K, Monfaredi R. Toward Robust Partial-Image Based Template Matching Techniques for MRI-Guided Interventions. J Digit Imaging 2023; 36:153-163. [PMID: 36271210 PMCID: PMC9984573 DOI: 10.1007/s10278-022-00716-6] [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: 11/23/2021] [Revised: 09/13/2022] [Accepted: 10/04/2022] [Indexed: 11/25/2022] Open
Abstract
We have developed an MRI-safe needle guidance toolkit for MRI-guided interventions intended to enable accurate positioning for needle-based procedures. The toolkit allows intuitive and accurate needle angulation and entry point positioning according to an MRI-based plan, using a flexible, patterned silicone 2D grid. The toolkit automatically matches the grid on MRI planning images with a physical silicon grid placed conformally on the patient's skin and provides the Interventional Radiologist an easy-to-use guide showing the needle entry point on the silicon grid as well as needle angle information. The radiologist can use this guide along with a 2-degree-of-freedom (rotation and angulation relative to the entry point) hand-held needle guide to place the needle into the anatomy of interest. The initial application that we are considering for this toolkit is arthrography, a diagnostic procedure to evaluate the joint space condition. However, this toolkit could be used for any needle-based and percutaneous procedures such as MRI-guided biopsy and facet joint injection. For matching the images, we adopt a transformation parameter estimation technique using the phase-only correlation method in the frequency domain. We investigated the robustness of this method against rotation, displacement, and Rician noise. The algorithm was able to successfully match all the dataset images. We also investigated the accuracy of identifying the entry point from registered template images as a prerequisite for a future targeting study. Application of the template matching algorithm to locate the needle entry points within the MRI dataset resulted in an average entry point location estimation accuracy of 0.12 ±0.2 mm. This promising result motivates a more detailed assessment of this algorithm in the future including a targeting study on a silicon phantom with embedded plastic targets to investigate the end-to-end accuracy of this automatic template matching algorithm in the interventional MRI room.
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Affiliation(s)
- Eung-Joo Lee
- CAMCA, Dept of Radiology, MGH and Harvard Medical School, Boston, MA, USA.
| | - Setareh Farzinfard
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC, USA
| | - Pavel Yarmolenko
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC, USA
| | - Kevin Cleary
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC, USA
| | - Reza Monfaredi
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC, USA
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Biswas P, Dehghani H, Sikander S, Song SE. Kinematic and mechanical modelling of a novel 4-DOF robotic needle guide for MRI-guided prostate intervention. BIOMEDICAL ENGINEERING ADVANCES 2022; 4:100036. [PMID: 35968253 PMCID: PMC9365025 DOI: 10.1016/j.bea.2022.100036] [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: 11/19/2022] Open
Abstract
Traditionally ultrasound-guided biopsy has been used to diagnose prostate cancer despite of its poor soft tissue contrast and frequent false negative results. Magnetic Resonance Imaging (MRI) has the advantage of excellent soft tissue contrast for guiding and monitoring prostate biopsy. However, its working area and access in the confined MRI bore space limit the use of interventional guide devices including robotic systems. To provide robotic precision, greater access, and compact design, we designed a novel robotic mechanism that can provide four degrees of freedom (DOF) manipulation in a compact form comparable to size of manual templates. To develop the mechanism, we established a mathematical model of inverse and forward kinematics and prototyped a proof-of-concept needle guide for MRI guided prostate biopsy. The mechanism was materialized using four discs that house small passive spherical joints that can be moved by rotating the discs consisting of grooved profile. With an initial needle insertion angle range of ±15°, we identified mathematical and kinematic parameters for the mechanism design and fabricated the first prototype that has dimension of 40 × 110 × 180 mm3. The prototype demonstrated that the unique robotic manipulation can physically be delivered and could provide precise needle guidance including angulated needle insertion with higher structural rigidity.
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Affiliation(s)
- Pradipta Biswas
- Department of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL, United States
| | | | - Sakura Sikander
- Department of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL, United States
| | - Sang-Eun Song
- Department of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL, United States
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The Feasibility of Using a Smartphone Magnetometer for Assisting Needle Placement. Ann Biomed Eng 2019; 48:1147-1156. [PMID: 31832931 DOI: 10.1007/s10439-019-02436-5] [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: 07/20/2019] [Accepted: 12/08/2019] [Indexed: 10/25/2022]
Abstract
Minimally invasive surgical procedures often require needle insertion. For these procedures, efficacy greatly depends on precise needle placement. Many methods, such as optical tracking and electromagnetic tracking, have been applied to assist needle placement by tracking the real-time position information of the needle. Compared with the optical tracking method, electromagnetic tracking is more suitable for minimally invasive surgery since it has no requirement of line-of-sight. However, the devices needed for electromagnetic tracking are usually expensive, which will increase the cost of surgery. In this study, we presented a low-cost smartphone-based permanent magnet tracking method compatible with CT imaging and designed a 3D printed operation platform to assist with needle placement prior to needle insertion during minimally invasive surgery. The needle positioning accuracy of this method was tested in an open air test and a prostate phantom test in a CT environment. For these two tests, the average radial errors were 0.47 and 2.25 mm, respectively, and the standard deviations were 0.29 and 1.63, respectively. The materials and fabrication required for the presented method are inexpensive. Thus, many image-guided therapies may benefit from the presented method as a low-cost option for needle positioning prior to needle insertion.
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