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Wang Y, Li G, Kwok KW, Cleary K, Taylor RH, Iordachita I. Towards Safe In Situ Needle Manipulation for Robot Assisted Lumbar Injection in Interventional MRI. PROCEEDINGS OF THE ... IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS. IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS 2021; 2021:1835-1842. [PMID: 35173994 PMCID: PMC8845499 DOI: 10.1109/iros51168.2021.9636220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Lumbar injection is an image-guided procedure performed manually for diagnosis and treatment of lower back pain and leg pain. Previously, we have developed and verified an MR-Conditional robotic solution to assisting the needle insertion process. Drawing on our clinical experiences, a virtual remote center of motion (RCM) constraint is implemented to enable our robot to mimic a clinician's hand motion to adjust the needle tip position in situ. Force and image data are collected to study the needle behavior in gel phantoms during this motion, and a mechanics-based needle-tissue interaction model is proposed and evaluated to further examine the underlying physics. This work extends the commonly-adopted notion of an RCM for flexible needles, and introduces new motion parameters to describe the needle behavior. The model parameters can be tuned to match the experimental result to sub-millimeter accuracy, and this proposed needle manipulation method presents a safer alternative to laterally translating the needle during in situ needle adjustments.
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Affiliation(s)
- Yanzhou Wang
- Department of Mechanical Engineering and Laboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, Maryland, USA
| | - Gang Li
- Department of Mechanical Engineering and Laboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, Maryland, USA
| | - Ka-Wai Kwok
- Department of Mechanical Engineering, The University of Hong Kong, Hong Kong
| | - Kevin Cleary
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC, USA
| | - Russell H Taylor
- Department of Computer Science and Laboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, Maryland, USA
| | - Iulian Iordachita
- Department of Mechanical Engineering and Laboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, Maryland, USA
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Pan L, Valdeig S, Kägebein U, Qing K, Fetics B, Roth A, Nevo E, Hensen B, Weiss CR, Wacker FK. Integration and evaluation of a gradient-based needle navigation system for percutaneous MR-guided interventions. PLoS One 2020; 15:e0236295. [PMID: 32706813 PMCID: PMC7380643 DOI: 10.1371/journal.pone.0236295] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Accepted: 07/01/2020] [Indexed: 12/22/2022] Open
Abstract
The purpose of the present study was to integrate an interactive gradient-based needle navigation system and to evaluate the feasibility and accuracy of the system for real-time MR guided needle puncture in a multi-ring phantom and in vivo in a porcine model. The gradient-based navigation system was implemented in a 1.5T MRI. An interactive multi-slice real-time sequence was modified to provide the excitation gradients used by two sets of three orthogonal pick-up coils integrated into a needle holder. Position and orientation of the needle holder were determined and the trajectory was superimposed on pre-acquired MR images. A gel phantom with embedded ring targets was used to evaluate accuracy using 3D distance from needle tip to target. Six punctures were performed in animals to evaluate feasibility, time, overall error (target to needle tip) and system error (needle tip to the guidance needle trajectory) in vivo. In the phantom experiments, the overall error was 6.2±2.9 mm (mean±SD) and 4.4±1.3 mm, respectively. In the porcine model, the setup time ranged from 176 to 204 seconds, the average needle insertion time was 96.3±40.5 seconds (min: 42 seconds; max: 154 seconds). The overall error and the system error was 8.8±7.8 mm (min: 0.8 mm; max: 20.0 mm) and 3.3±1.4 mm (min: 1.8 mm; max: 5.2 mm), respectively.
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Affiliation(s)
- Li Pan
- Siemens Healthineers, Baltimore, MD, United States of America
| | - Steffi Valdeig
- Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, United States of America
| | - Urte Kägebein
- Department of Radiology, Hannover Medical School, Hannover, Germany
- STIMULATE–Research Campus: Solution Centre for Image Guided Local Therapies, Magdeburg, Germany
| | - Kun Qing
- Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, United States of America
- Siemens Corporate Technology, Baltimore, MD, United States of America
| | - Barry Fetics
- Robin Medical Inc., Baltimore, MD, United States of America
| | - Amir Roth
- Robin Medical Inc., Baltimore, MD, United States of America
| | - Erez Nevo
- Robin Medical Inc., Baltimore, MD, United States of America
| | - Bennet Hensen
- Department of Radiology, Hannover Medical School, Hannover, Germany
- STIMULATE–Research Campus: Solution Centre for Image Guided Local Therapies, Magdeburg, Germany
- * E-mail:
| | - Clifford R. Weiss
- Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, United States of America
| | - Frank K. Wacker
- Department of Radiology, Hannover Medical School, Hannover, Germany
- STIMULATE–Research Campus: Solution Centre for Image Guided Local Therapies, Magdeburg, Germany
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Yamada A, Tokuda J, Naka S, Murakami K, Tani T, Morikawa S. Magnetic resonance and ultrasound image-guided navigation system using a needle manipulator. Med Phys 2019; 47:850-858. [PMID: 31829440 DOI: 10.1002/mp.13958] [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] [Received: 03/15/2019] [Revised: 12/06/2019] [Accepted: 12/06/2019] [Indexed: 12/23/2022] Open
Abstract
PURPOSE Image guidance is crucial for percutaneous tumor ablations, enabling accurate needle-like applicator placement into target tumors while avoiding tissues that are sensitive to injury and/or correcting needle deflection. Although ultrasound (US) is widely used for image guidance, magnetic resonance (MR) is preferable due to its superior soft tissue contrast. The objective of this study was to develop and evaluate an MR and US multi-modal image-guided navigation system with a needle manipulator to enable US-guided applicator placement during MR imaging (MRI)-guided percutaneous tumor ablation. METHODS The MRI-compatible needle manipulator with US probe was installed adjacent to a 3 Tesla MRI scanner patient table. Coordinate systems for the MR image, patient table, manipulator, and US probe were all registered using an optical tracking sensor. The patient was initially scanned in the MRI scanner bore for planning and then moved outside the bore for treatment. Needle insertion was guided by real-time US imaging fused with the reformatted static MR image to enhance soft tissue contrast. Feasibility, targeting accuracy, and MR compatibility of the system were evaluated using a bovine liver and agar phantoms. RESULTS Targeting error for 50 needle insertions was 1.6 ± 0.6 mm (mean ± standard deviation). The experiment confirmed that fused MR and US images provided real-time needle localization against static MR images with soft tissue contrast. CONCLUSIONS The proposed MR and US multi-modal image-guided navigation system using a needle manipulator enabled accurate needle insertion by taking advantage of static MR and real-time US images simultaneously. Real-time visualization helped determine needle depth, tissue monitoring surrounding the needle path, target organ shifts, and needle deviation from the path.
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Affiliation(s)
- Atsushi Yamada
- Department of Research and Development for Innovative Medical Devices and Systems, Shiga University of Medical Science, Otsu, Shiga, 520-2192, Japan
| | - Junichi Tokuda
- National Center for Image Guided Therapy, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Shigeyuki Naka
- Department of Surgery, Shiga University of Medical Science, Otsu, Shiga, 520-2192, Japan
| | - Koichiro Murakami
- Department of Surgery, Shiga University of Medical Science, Otsu, Shiga, 520-2192, Japan
| | - Tohru Tani
- Department of Research and Development for Innovative Medical Devices and Systems, Shiga University of Medical Science, Otsu, Shiga, 520-2192, Japan
| | - Shigehiro Morikawa
- Molecular Neuroscience Research Center, Shiga University of Medical Science, Otsu, Shiga, 520-2192, Japan
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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: 3.2] [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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Chen Y, Godage I, Su H, Song A, Yu H. Stereotactic Systems for MRI-Guided Neurosurgeries: A State-of-the-Art Review. Ann Biomed Eng 2018; 47:335-353. [PMID: 30377898 DOI: 10.1007/s10439-018-02158-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2018] [Accepted: 10/17/2018] [Indexed: 10/28/2022]
Abstract
Recent technological developments in magnetic resonance imaging (MRI) and stereotactic techniques have significantly improved surgical outcomes. Despite the advantages offered by the conventional MRI-guided stereotactic neurosurgery, the robotic-assisted stereotactic approach has potential to further improve the safety and accuracy of neurosurgeries. This review aims to provide an update on the potential and continued growth of the MRI-guided stereotactic neurosurgical techniques by describing the state of the art in MR conditional stereotactic devices including manual and robotic-assisted. The paper also presents a detailed overview of MRI-guided stereotactic devices, MR conditional actuators and encoders used in MR conditional robotic-assisted stereotactic devices. The review concludes with several research challenges and future perspectives, including actuator and sensor technique, MR image guidance, and robot design issues.
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Affiliation(s)
- Yue Chen
- Department of Mechanical Engineering, University of Arkansas, Fayetteville, AR, USA.
| | - Isuru Godage
- School of Computing, DePaul University, Chicago, IL, USA
| | - Hao Su
- Department of Mechanical Engineering, City College of New York, New York, NY, USA
| | - Aiguo Song
- School of Instrument Science and Engineering, Southeast University, Nanjing, People's Republic of China
| | - Hong Yu
- Department of Neurological Surgery, Vanderbilt University, Nashville, TN, USA
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Tokuda J, Chauvin L, Ninni B, Kato T, King F, Tuncali K, Hata N. Motion compensation for MRI-compatible patient-mounted needle guide device: estimation of targeting accuracy in MRI-guided kidney cryoablations. Phys Med Biol 2018; 63:085010. [PMID: 29546845 DOI: 10.1088/1361-6560/aab736] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Patient-mounted needle guide devices for percutaneous ablation are vulnerable to patient motion. The objective of this study is to develop and evaluate a software system for an MRI-compatible patient-mounted needle guide device that can adaptively compensate for displacement of the device due to patient motion using a novel image-based automatic device-to-image registration technique. We have developed a software system for an MRI-compatible patient-mounted needle guide device for percutaneous ablation. It features fully-automated image-based device-to-image registration to track the device position, and a device controller to adjust the needle trajectory to compensate for the displacement of the device. We performed: (a) a phantom study using a clinical MR scanner to evaluate registration performance; (b) simulations using intraoperative time-series MR data acquired in 20 clinical cases of MRI-guided renal cryoablations to assess its impact on motion compensation; and (c) a pilot clinical study in three patients to test its feasibility during the clinical procedure. FRE, TRE, and success rate of device-to-image registration were 2.71 ± 2.29 mm, 1.74 ± 1.13 mm, and 98.3% for the phantom images. The simulation study showed that the motion compensation reduced the targeting error for needle placement from 8.2 mm to 5.4 mm (p < 0.0005) in patients under general anesthesia (GA), and from 14.4 mm to 10.0 mm (p < 1.0 × 10(−5)) in patients under monitored anesthesia care (MAC). The pilot study showed that the software registered the device successfully in a clinical setting. Our simulation study demonstrated that the software system could significantly improve targeting accuracy in patients treated under both MAC and GA. Intraprocedural image-based device-to-image registration was feasible.
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Affiliation(s)
- Junichi Tokuda
- Department of Radiology, Brigham and Womens Hospital and Harvard Medical School, Boston, MA 02115, United States of America
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Franco E, Ristic M, Rea M, Gedroyc WMW. Robot-assistant for MRI-guided liver ablation: A pilot study. Med Phys 2017; 43:5347. [PMID: 27782696 DOI: 10.1118/1.4961986] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
PURPOSE Percutaneous ablation under MRI-guidance allows treating otherwise inoperable liver tumors locally using a catheter probe. However, manually placing the probe is an error-prone and time consuming task that requires a considerable amount of training. The aim of this paper was to present a pneumatically actuated robotic instrument that can assist clinicians in MRI-guided percutaneous intervention of the liver and to assess its functionality in a clinical setting. The robot positions a needle-guide inside the MRI scanner bore and assists manual needle insertions outside the bore. METHODS The robot supports double oblique insertions that are particularly challenging for less experienced clinicians. Additionally, the system employs only standard imaging sequences and can therefore be used on different MRI scanners without requiring prior integration. The repeatability and the accuracy of the robot were evaluated with an optical tracking system. The functionality of the robot was assessed in an initial pilot study on two patients that underwent MRI-guided laser ablation of the liver. RESULTS The robot positioned the needle-guide in a repeatable manner with a mean error of 0.35 mm and a standard deviation of 0.32 mm. The mean position error corresponding to the needle tip, measured for an equivalent needle length of 195 mm over 25 fixed points, was 2.5 mm with a standard deviation of 1.2 mm. The pilot study confirmed that the robot does not interfere with the equipment used for MRI-guided laser ablation and does not visibly affect the MR images. The robot setup integrated seamlessly within the established clinical workflow. The robot-assisted procedure was successfully completed on two patients, one of which required a complex double oblique insertion. For both patients, the insertion depth and the tumor size were within the range reported for previous MRI-guided percutaneous interventions. A third patient initially enrolled in the pilot study and was considerably heavier than the others, preventing the use of the robot and requiring several freehand insertion attempts. CONCLUSIONS The robot repeatability and accuracy are appropriate for liver tumors normally treated with MRI-guided ablation. The results of the pilot study endorse the clinical use of the robot in its current form: the robot is fully functional and MRI-compatible in a clinical setting and is suitable for double-oblique needle insertions.
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Affiliation(s)
- Enrico Franco
- Mechanical Engineering Department, Imperial College London, London SW7 AZ, United Kingdom
| | - Mike Ristic
- Mechanical Engineering Department, Imperial College London, London SW7 AZ, United Kingdom
| | - Marc Rea
- Department of Radiology, Imperial College Healthcare NHS Trust, London W2 1NY, United Kingdom
| | - Wladyslaw M W Gedroyc
- Department of Radiology, Imperial College Healthcare NHS Trust, London W2 1NY, United Kingdom
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Chen Y, Wang W, Schmidt EJ, Kwok KW, Viswanathan AN, Cormack R, Tse ZTH. Design and Fabrication of MR-Tracked Metallic Stylet for Gynecologic Brachytherapy. IEEE/ASME TRANSACTIONS ON MECHATRONICS : A JOINT PUBLICATION OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY AND THE ASME DYNAMIC SYSTEMS AND CONTROL DIVISION 2016; 21:956-962. [PMID: 28989272 PMCID: PMC5627614 DOI: 10.1109/tmech.2015.2503427] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
Active magnetic resonance (MR) tracking for gynecologic brachytherapy was made possible by attaching the micro radiofrequency coils to the brachytherapy applicator. The rectangular planar micro coil was fabricated using flexible printed circuits with dimensions of 8mm×1.5mm. A 5-Fr (1.6mm) tungsten brachytherapy stylet was custom-machined to incorporate the micro coils. The finite element analysis and the phantom tissue studies show that the proposed device enables in situ, real-time guidance of access routes to the target anatomy safely and accurately. The setup was tested in a Siemens 3T MR scanner. The micro coils can be localized rapidly (up to 40 Hz) and precisely (resolution: 0.6×0.6×0.6mm3) using an MR-tracking sequence.
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Affiliation(s)
- Yue Chen
- College of Engineering, The University of Georgia, Athens, GA, 30605 USA, and is also with Department of Mechanical Engineering, The University of Hong Kong, HK, China (, )
| | - Wei Wang
- Department of Radiology, Brigham & Women's Hospital, Boston, MA, 02115 USA, and is also with the Department of Radiation Oncology, Brigham & Women's Hospital, Boston, MA, 02115 USA
| | - Ehud J Schmidt
- Department of Radiology, Brigham & Women's Hospital, Boston, MA, 02115 USA
| | - Ka-Wai Kwok
- Department of Mechanical Engineering, The University of Hong Kong, HK, China
| | - Akila N Viswanathan
- Department of Radiation Oncology, Brigham & Women's Hospital, Boston, MA, 02115
| | - Robert Cormack
- Department of Radiation Oncology, Brigham & Women's Hospital, Boston, MA, 02115
| | - Zion Tsz Ho Tse
- College of Engineering, The University of Georgia, Athens, GA, 30605 USA
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Hata N, Song SE, Olubiyi O, Arimitsu Y, Fujimoto K, Kato T, Tuncali K, Tani S, Tokuda J. Body-mounted robotic instrument guide for image-guided cryotherapy of renal cancer. Med Phys 2016; 43:843-53. [PMID: 26843245 PMCID: PMC4723400 DOI: 10.1118/1.4939875] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2015] [Revised: 12/10/2015] [Accepted: 01/02/2016] [Indexed: 01/26/2023] Open
Abstract
PURPOSE Image-guided cryotherapy of renal cancer is an emerging alternative to surgical nephrectomy, particularly for those who cannot sustain the physical burden of surgery. It is well known that the outcome of this therapy depends on the accurate placement of the cryotherapy probe. Therefore, a robotic instrument guide may help physicians aim the cryotherapy probe precisely to maximize the efficacy of the treatment and avoid damage to critical surrounding structures. The objective of this paper was to propose a robotic instrument guide for orienting cryotherapy probes in image-guided cryotherapy of renal cancers. The authors propose a body-mounted robotic guide that is expected to be less susceptible to guidance errors caused by the patient's whole body motion. METHODS Keeping the device's minimal footprint in mind, the authors developed and validated a body-mounted, robotic instrument guide that can maintain the geometrical relationship between the device and the patient's body, even in the presence of the patient's frequent body motions. The guide can orient the cryotherapy probe with the skin incision point as the remote-center-of-motion. The authors' validation studies included an evaluation of the mechanical accuracy and position repeatability of the robotic instrument guide. The authors also performed a mock MRI-guided cryotherapy procedure with a phantom to compare the advantage of robotically assisted probe replacements over a free-hand approach, by introducing organ motions to investigate their effects on the accurate placement of the cryotherapy probe. Measurements collected for performance analysis included accuracy and time taken for probe placements. Multivariate analysis was performed to assess if either or both organ motion and the robotic guide impacted these measurements. RESULTS The mechanical accuracy and position repeatability of the probe placement using the robotic instrument guide were 0.3 and 0.1 mm, respectively, at a depth of 80 mm. The phantom test indicated that the accuracy of probe placement was significantly better with the robotic instrument guide (4.1 mm) than without the guide (6.3 mm, p<0.001), even in the presence of body motion. When independent organ motion was artificially added, in addition to body motion, the advantage of accurate probe placement using the robotic instrument guide disappeared statistically [i.e., 6.0 mm with the robotic guide and 5.9 mm without the robotic guide (p = 0.906)]. When the robotic instrument guide was used, the total time required to complete the procedure was reduced from 19.6 to 12.7 min (p<0.001). Multivariable analysis indicated that the robotic instrument guide, not the organ motion, was the cause of statistical significance. The statistical power the authors obtained was 88% in accuracy assessment and 99% higher in duration measurement. CONCLUSIONS The body-mounted robotic instrument guide allows positioning of the probe during image-guided cryotherapy of renal cancer and was done in fewer attempts and in less time than the free-hand approach. The accuracy of the placement of the cryotherapy probe was better using the robotic instrument guide than without the guide when no organ motion was present. The accuracy between the robotic and free-hand approach becomes comparable when organ motion was present.
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Affiliation(s)
- Nobuhiko Hata
- National Center for Image Guided Therapy, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115
| | - Sang-Eun Song
- National Center for Image Guided Therapy, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115
| | - Olutayo Olubiyi
- National Center for Image Guided Therapy, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115
| | | | | | - Takahisa Kato
- Healthcare Optics Research Laboratory, Canon U.S.A., Cambridge, Massachusetts 02144
| | - Kemal Tuncali
- National Center for Image Guided Therapy, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115
| | - Soichiro Tani
- National Center for Image Guided Therapy, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115
| | - Junichi Tokuda
- National Center for Image Guided Therapy, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115
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Targeting Accuracy, Procedure Times and User Experience of 240 Experimental MRI Biopsies Guided by a Clinical Add-On Navigation System. PLoS One 2015. [PMID: 26222443 PMCID: PMC4519044 DOI: 10.1371/journal.pone.0134370] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVES MRI is of great clinical utility for the guidance of special diagnostic and therapeutic interventions. The majority of such procedures are performed iteratively ("in-and-out") in standard, closed-bore MRI systems with control imaging inside the bore and needle adjustments outside the bore. The fundamental limitations of such an approach have led to the development of various assistance techniques, from simple guidance tools to advanced navigation systems. The purpose of this work was to thoroughly assess the targeting accuracy, workflow and usability of a clinical add-on navigation solution on 240 simulated biopsies by different medical operators. METHODS Navigation relied on a virtual 3D MRI scene with real-time overlay of the optically tracked biopsy needle. Smart reference markers on a freely adjustable arm ensured proper registration. Twenty-four operators - attending (AR) and resident radiologists (RR) as well as medical students (MS) - performed well-controlled biopsies of 10 embedded model targets (mean diameter: 8.5 mm, insertion depths: 17-76 mm). Targeting accuracy, procedure times and 13 Likert scores on system performance were determined (strong agreement: 5.0). RESULTS Differences in diagnostic success rates (AR: 93%, RR: 88%, MS: 81%) were not significant. In contrast, between-group differences in biopsy times (AR: 4:15, RR: 4:40, MS: 5:06 min:sec) differed significantly (p<0.01). Mean overall rating was 4.2. The average operator would use the system again (4.8) and stated that the outcome justifies the extra effort (4.4). Lowest agreement was reported for the robustness against external perturbations (2.8). CONCLUSIONS The described combination of optical tracking technology with an automatic MRI registration appears to be sufficiently accurate for instrument guidance in a standard (closed-bore) MRI environment. High targeting accuracy and usability was demonstrated on a relatively large number of procedures and operators. Between groups with different expertise there were significant differences in experimental procedure times but not in the number of successful biopsies.
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Ayvali E, Desai JP. Optical Flow-Based Tracking of Needles and Needle-Tip Localization Using Circular Hough Transform in Ultrasound Images. Ann Biomed Eng 2014; 43:1828-40. [PMID: 25503523 DOI: 10.1007/s10439-014-1208-0] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2014] [Accepted: 11/29/2014] [Indexed: 11/24/2022]
Abstract
Image-guided interventions have become the standard of care for needle-based procedures. The success of the image-guided procedures depends on the ability to precisely locate and track the needle. This work is primarily focused on 2D ultrasound-based tracking of a hollow needle (cannula) that is composed of straight segments connected by shape memory alloy actuators. An in-plane tracking algorithm based on optical flow was proposed to track the cannula configuration in real-time. Optical flow is a robust tracking algorithm that can easily run on a CPU. However, the algorithm does not perform well when it is applied to the ultrasound images directly due to the intensity variation in the images. The method presented in this work enables using the optical flow algorithm on ultrasound images to track features of the needle. By taking advantage of the bevel tip, Circular Hough transform was used to accurately locate the needle tip when the imaging is out-of-plane. Through experiments inside tissue phantom and ex-vivo experiments in bovine kidney, the success of the proposed tracking methods were demonstrated. Using the methods presented in this work, quantitative information about the needle configuration is obtained in real-time which is crucial for generating control inputs for the needle and automating the needle insertion.
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Affiliation(s)
- Elif Ayvali
- Robotics, Automation and Medical Systems (RAMS) Laboratory, Maryland Robotics Center, Institute for Systems Research, University of Maryland, College Park, MD, USA,
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Arnolli MM, Hanumara NC, Franken M, Brouwer DM, Broeders IAMJ. An overview of systems for CT- and MRI-guided percutaneous needle placement in the thorax and abdomen. Int J Med Robot 2014; 11:458-75. [DOI: 10.1002/rcs.1630] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2013] [Revised: 09/17/2014] [Accepted: 09/22/2014] [Indexed: 11/11/2022]
Affiliation(s)
| | - Nevan C. Hanumara
- Mechanical Engineering Department; Massachusetts Institute of Technology; MA USA
| | | | - Dannis M. Brouwer
- Laboratory of Mechanical Automation and Mechatronics, Faculty of Engineering Technology; University of Twente; The Netherlands
| | - Ivo A. M. J. Broeders
- Robotics and Mechatronics, MIRA Institute for Biomedical Technology and Technical Medicine; University of Twente; The Netherlands
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14
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Yamaguchi S, Tsutsui K, Satake K, Morikawa S, Shirai Y, Tanaka HT. Dynamic analysis of a needle insertion for soft materials: Arbitrary Lagrangian–Eulerian-based three-dimensional finite element analysis. Comput Biol Med 2014; 53:42-7. [PMID: 25127407 DOI: 10.1016/j.compbiomed.2014.07.012] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2014] [Revised: 07/11/2014] [Accepted: 07/18/2014] [Indexed: 12/22/2022]
Affiliation(s)
- Satoshi Yamaguchi
- Department of Biomaterials Science, Osaka University Graduate School of Dentistry, 1-8 Yamadaoka, Suita, Osaka 565-0871, Japan.
| | - Kihei Tsutsui
- Lancemore, Co., M&M2 Building 3F, 5-41-3 Kamata, Ota-ku, Tokyo 144-0052, Japan
| | - Koji Satake
- College of Information Science and Engineering, Ritsumeikan University, 1-1-1 Nojihigashi, Kusatsu, Shiga 525-8577, Japan
| | - Shigehiro Morikawa
- Biomedical MR Science Center, Shiga University of Medical Science, Seta Tsukinowa-chou, Otsu, Shiga 520-2192, Japan
| | - Yoshiaki Shirai
- College of Information Science and Engineering, Ritsumeikan University, 1-1-1 Nojihigashi, Kusatsu, Shiga 525-8577, Japan
| | - Hiromi T Tanaka
- College of Information Science and Engineering, Ritsumeikan University, 1-1-1 Nojihigashi, Kusatsu, Shiga 525-8577, Japan
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15
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Fisher T, Hamed A, Vartholomeos P, Masamune K, Tang G, Ren H, Tse ZTH. Intraoperative magnetic resonance imaging–conditional robotic devices for therapy and diagnosis. Proc Inst Mech Eng H 2014; 228:303-18. [DOI: 10.1177/0954411914524189] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Magnetic resonance imaging presents high-resolution preoperative scans of target tissue and allows for the availability of intraoperative real-time images without the exposure of patients to ionizing radiation. This has motivated scientists and engineers to integrate medical robotics with the magnetic resonance imaging modality to allow robot-assisted, image-guided diagnosis and therapy. This article provides a review of the state-of-the-art medical robotic systems available for use in conjunction with intraoperative magnetic resonance imaging. The robot functionalities and mechanical designs for a wide range of magnetic resonance imaging interventions are presented, including their magnetic resonance imaging compatibility, actuation, kinematics and the mechanical and electrical designs of the robots. Classification and comparative study of various intraoperative magnetic resonance image guided robotic systems are provided. The robotic systems reviewed are summarized in a table in detail. Current technologies for magnetic resonance imaging–conditional robotics are reviewed and their potential future directions are sketched.
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Affiliation(s)
- Taylor Fisher
- College of Engineering, The University of Georgia, Athens, GA, USA
| | - Abbi Hamed
- Department of Advanced Robotics, Chiba Institute of Technology, Narashino, Japan
| | - Panagiotis Vartholomeos
- Department of Cardiovascular Surgery, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Ken Masamune
- Advanced Therapeutic and Rehabilitation Engineering Laboratory, Graduate school of Engineering, The University of Tokyo, Tokyo, Japan
| | - Guoyi Tang
- Advanced Materials Institute, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China
| | - Hongliang Ren
- Department of Bioengineering, National University of Singapore, Singapore
| | - Zion T H Tse
- College of Engineering, The University of Georgia, Athens, GA, USA
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16
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Augmented Reality Visualization Using Image Overlay Technology for MR-Guided Interventions. Invest Radiol 2013; 48:464-70. [DOI: 10.1097/rli.0b013e31827b9f86] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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17
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Fritz J, U-Thainual P, Ungi T, Flammang AJ, Fichtinger G, Iordachita II, Carrino JA. Augmented reality visualization with use of image overlay technology for MR imaging-guided interventions: assessment of performance in cadaveric shoulder and hip arthrography at 1.5 T. Radiology 2012; 265:254-9. [PMID: 22843764 DOI: 10.1148/radiol.12112640] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
PURPOSE To prospectively assess overlay technology in providing accurate and efficient targeting for magnetic resonance (MR) imaging-guided shoulder and hip joint arthrography. MATERIALS AND METHODS A prototype augmented reality image overlay system was used in conjunction with a clinical 1.5-T MR imager. A total of 24 shoulder joint and 24 hip joint injections were planned in 12 human cadavers. Two operators (A and B) participated, each performing procedures on different cadavers using image overlay guidance. MR imaging was used to confirm needle positions, monitor injections, and perform MR arthrography. Accuracy was assessed according to the rate of needle adjustment, target error, and whether the injection was intraarticular. Efficiency was assessed according to arthrography procedural time. Operator differences were assessed with comparison of accuracy and procedure times between the operators. Mann-Whitney U test and Fisher exact test were used to assess group differences. RESULTS Forty-five arthrography procedures (23 shoulders, 22 hips) were performed. Three joints had prostheses and were excluded. Operator A performed 12 shoulder and 12 hip injections. Operator B performed 11 shoulder and 10 hip injections. Needle adjustment rate was 13% (six of 45; one for operator A and five for operator B). Target error was 3.1 mm±1.2 (standard deviation) (operator A, 2.9 mm±1.4; operator B, 3.5 mm±0.9). Intraarticular injection rate was 100% (45 of 45). The average arthrography time was 14 minutes (range, 6-27 minutes; 12 minutes [range, 6-25 minutes] for operator A and 16 minutes [range, 6-27 min] for operator B). Operator differences were not significant with regard to needle adjustment rate (P=.08), target error (P=.07), intraarticular injection rate (P>.99), and arthrography time (P=.22). CONCLUSION Image overlay technology provides accurate and efficient MR guidance for successful shoulder and hip arthrography in human cadavers.
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Affiliation(s)
- Jan Fritz
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, JHOC 5165, Baltimore, MD 21287, USA
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18
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Augmented Reality Visualization With Image Overlay for MRI-Guided Intervention: Accuracy for Lumbar Spinal Procedures With a 1.5-T MRI System. AJR Am J Roentgenol 2012; 198:W266-73. [DOI: 10.2214/ajr.11.6918] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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19
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Abstract
Capsule endoscopy is a promising technique for diagnosing diseases in the digestive system. Here we design and characterize a miniature swimming mechanism that uses the magnetic fields of the MRI for both propulsion and wireless powering of the capsule. Our method uses both the static and the radio frequency (RF) magnetic fields inherently available in MRI to generate a propulsive force. Our study focuses on the evaluation of the propulsive force for different swimming tails and experimental estimation of the parameters that influence its magnitude. We have found that an approximately 20 mm long, 5 mm wide swimming tail is capable of producing 0.21 mN propulsive force in water when driven by a 20 Hz signal providing 0.85 mW power and the tail located within the homogeneous field of a 3 T MRI scanner. We also analyze the parallel operation of the swimming mechanism and the scanner imaging. We characterize the size of artifacts caused by the propulsion system. We show that while the magnetic micro swimmer is propelling the capsule endoscope, the operator can locate the capsule on the image of an interventional scene without being obscured by significant artifacts. Although this swimming method does not scale down favorably, the high magnetic field of the MRI allows self propulsion speed on the order of several millimeter per second and can propel an endoscopic capsule in the stomach.
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Affiliation(s)
- Gábor Kósa
- School of Mechanical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel.
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20
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Seimenis I, Tsekos NV, Keroglou C, Eracleous E, Pitris C, Christoforou EG. An Approach for Preoperative Planning and Performance of MR-guided Interventions Demonstrated With a Manual Manipulator in a 1.5T MRI Scanner. Cardiovasc Intervent Radiol 2011; 35:359-67. [DOI: 10.1007/s00270-011-0147-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2010] [Accepted: 02/25/2011] [Indexed: 10/18/2022]
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21
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Fischer GS, Cole G, Su H. Approaches to creating and controlling motion in MRI. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2011; 2011:6687-6690. [PMID: 22255873 DOI: 10.1109/iembs.2011.6091649] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
Magnetic Resonance Imaging (MRI) can provide three dimensional (3D) imaging with excellent resolution and sensitivity making it ideal for guiding and monitoring interventions. The development of MRI-compatible interventional devices is complicated by factors including: the high magnetic field strength, the requirement that such devices should not degrade image quality, and the confined physical space of the scanner bore. Numerous MRI guided actuated devices have been developed or are currently being developed utilizing piezoelectric actuators as their primary means of mechanical energy generation to enable better interventional procedure performance. While piezoelectric actuators are highly desirable for MRI guided actuation for their precision, high holding force, and non-magnetic operation they are often found to cause image degradation on a large enough to scale to render live imaging unusable. This paper describes a newly developed piezoelectric actuator driver and control system designed to drive a variety of both harmonic and non-harmonic motors that has been demonstrated to be capable of operating both harmonic and non-harmonic piezoelectric actuators with less than 5% SNR loss under closed loop control. The proposed system device allows for a single controller to control any supported actuator and feedback sensor without any physical hardware changes.
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Affiliation(s)
- Gregory S Fischer
- Automation and Interventional Medicine Laboratory, Department of Mechanical Engineering, Worcester Polytechnic Institute, Worcester, MA, USA.
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22
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Li M, Kapoor A, Mazilu D, Horvath KA. Pneumatic actuated robotic assistant system for aortic valve replacement under MRI guidance. IEEE Trans Biomed Eng 2010; 58:443-51. [PMID: 21041156 DOI: 10.1109/tbme.2010.2089983] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
We present a pneumatic actuated robotic assistant system for transapical aortic valve replacement under MRI guidance in a beating heart. This is a minimally invasive procedure that is currently performed manually inside the MRI bore. A robotic assistance system that integrates an interactive real-time MRI system, a robotic arm with a newly developed robotic valve delivery module, as well as user interfaces for the physician to plan the procedure and manipulate the robot, would be advantageous for the procedure. An Innomotion arm with hands-on cooperative interface was used as a device holder. A compact MRI compatible robotic delivery module was developed for delivering both balloon-expandable and self-expanding prostheses. A compact fiducial that can be placed close to the volume of interest and requires a single image plane was used for image-based robot registration. The system provides different user interfaces at various stages of the procedure. We present the development and evaluation of the components and the system in ex-vivo experiments.
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Affiliation(s)
- Ming Li
- National Institutes of Health, Bethesda, MD 20892, USA.
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23
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Busse H, Garnov N, Thörmer G, Zajonz D, Gründer W, Kahn T, Moche M. Flexible add-on solution for MR image-guided interventions in a closed-bore scanner environment. Magn Reson Med 2010; 64:922-8. [DOI: 10.1002/mrm.22464] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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24
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Moche M, Zajonz D, Kahn T, Busse H. MRI-guided procedures in various regions of the body using a robotic assistance system in a closed-bore scanner: Preliminary clinical experience and limitations. J Magn Reson Imaging 2010; 31:964-74. [DOI: 10.1002/jmri.21990] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
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25
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Abstract
Neurosurgical diagnosis and intervention has evolved through improved neuroimaging, allowing better visualization of anatomy and pathology. This article discusses the various systems that have been designed over the last decade to meet the requirements of neurosurgical patients and opines on the potential future developments in the technology and application of intraoperative MRI. Because the greatest amount of experience with intraoperative MRI comes from its use in brain tumor resection, this article focuses on the origins of intraoperative MRI in relation to this field.
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26
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Abstract
Neurosurgical diagnosis and intervention has evolved through improved neuroimaging, allowing better visualization of anatomy and pathology. This article discusses the various systems that have been designed over the last decade to meet the requirements of neurosurgical patients and opines on the potential future developments in the technology and application of intraoperative MRI. Because the greatest amount of experience with intraoperative MRI comes from its use in brain tumor resection, this article focuses on the origins of intraoperative MRI in relation to this field.
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Affiliation(s)
- John M K Mislow
- Department of Neurosurgery, Harvard Medical School, Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115, USA
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27
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Morikawa S, Naka S, Murakami K, Kurumi Y, Shiomi H, Tani T, Haque HA, Tokuda J, Hata N, Inubushi T. Preliminary clinical experiences of a motorized manipulator for magnetic resonance image–guided microwave coagulation therapy of liver tumors. Am J Surg 2009; 198:340-7. [DOI: 10.1016/j.amjsurg.2009.02.006] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2008] [Revised: 02/13/2009] [Accepted: 02/16/2009] [Indexed: 11/29/2022]
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28
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Integrated navigation and control software system for MRI-guided robotic prostate interventions. Comput Med Imaging Graph 2009; 34:3-8. [PMID: 19699057 DOI: 10.1016/j.compmedimag.2009.07.004] [Citation(s) in RCA: 52] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2009] [Accepted: 07/17/2009] [Indexed: 11/24/2022]
Abstract
A software system to provide intuitive navigation for MRI-guided robotic transperineal prostate therapy is presented. In the system, the robot control unit, the MRI scanner, and the open-source navigation software are connected together via Ethernet to exchange commands, coordinates, and images using an open network communication protocol, OpenIGTLink. The system has six states called "workphases" that provide the necessary synchronization of all components during each stage of the clinical workflow, and the user interface guides the operator linearly through these workphases. On top of this framework, the software provides the following features for needle guidance: interactive target planning; 3D image visualization with current needle position; treatment monitoring through real-time MR images of needle trajectories in the prostate. These features are supported by calibration of robot and image coordinates by fiducial-based registration. Performance tests show that the registration error of the system was 2.6mm within the prostate volume. Registered real-time 2D images were displayed 1.97 s after the image location is specified.
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29
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Yamashita H, Zuo S, Masamune K, Liao H, Dohi T. Nonmagnetic rigid and flexible outer sheath with pneumatic interlocking mechanism for minimally invasive surgical approach. MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION : MICCAI ... INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION 2009; 12:418-425. [PMID: 20426015 DOI: 10.1007/978-3-642-04268-3_52] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2023]
Abstract
We developed a nonmagnetic rigid and flexible outer sheath with pneumatic interlocking mechanism using flexible toothed links and a wire-driven bending distal end. The outer sheath can be switched between rigid and flexible modes easily depending on surgical scenes, and the angle of its distal end can be controlled by three nylon wires. All components of flexible parts are made of MRI-compatible nonmagnetic plastics. We manufactured the device with 300-mm long, 16-mm outer diameter, 7-mm inner diameter and 90-mm bending distal end. Holding power of the device in rigid mode was maximum 3.6 N, which was sufficient for surgical tasks in body cavity. In vivo experiment using a swine, our device performed smooth insertion of a flexible endoscope and a biopsy forceps into reverse side of the liver, intestines and spleen with a curved path. In conclusion, our device shows availability of secure approach of surgical instruments into deep cavity.
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Affiliation(s)
- Hiromasa Yamashita
- Graduate School of Information Science and Technology, The University of Tokyo, Japan
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