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Han Z, Yu K, Hu L, Li W, Yang H, Gan M, Guo N, Yang B, Liu H, Wang Y. A targeting method for robot-assisted percutaneous needle placement under fluoroscopy guidance. Comput Assist Surg (Abingdon) 2019; 24:44-52. [PMID: 30689445 DOI: 10.1080/24699322.2018.1557907] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
Abstract
Minimally invasive procedures are rapidly growing in popularity thanks to advancements in medical robots, visual navigation and space registration techniques. This paper presents a precise and efficient targeting method for robot-assisted percutaneous needle placement under C-arm fluoroscopy. In this method, a special end-effector was constructed to perform fluoroscopy calibration and robot to image-space registration simultaneously. In addition, formulations were given to compute the movement of robot targeting and evaluate targeting accuracy using only one X-ray image. With these techniques, radiation exposure and operation time were reduced significantly compared to other commonly used methods. A pre-clinical experiment showed that the maximum angle error was 0.94° and the maximum position error of a target located 80mm below the end-effector was 1.31mm. And evaluation of the system in a robot-assisted pedicle screws placement surgery has justified the accuracy and reliability of proposed method in clinical applications.
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Affiliation(s)
- Zhonghao Han
- School of Mechanical Engineering and Automation, Beihang University , Beijing , China
| | - Keyi Yu
- Department of Orthopaedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science , Beijing , China
| | - Lei Hu
- School of Mechanical Engineering and Automation, Beihang University , Beijing , China
| | - Weishi Li
- Orthopaedic Department, Peking University Third Hospital , Beijing , China
| | - Huilin Yang
- Department of Orthopaedic Surgery, The First Affiliated Hospital of Soochow University , Jiangsu , Suzhou , China
| | - Minfeng Gan
- Department of Orthopaedic Surgery, The First Affiliated Hospital of Soochow University , Jiangsu , Suzhou , China
| | - Na Guo
- School of Mechanical Engineering and Automation, Beihang University , Beijing , China
| | - Biao Yang
- School of Mechanical Engineering and Automation, Beihang University , Beijing , China
| | - Hongsheng Liu
- School of Mechanical Engineering and Automation, Beihang University , Beijing , China
| | - Yuhan Wang
- School of Mechanical Engineering and Automation, Beihang University , Beijing , China
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Podder TK, Beaulieu L, Caldwell B, Cormack RA, Crass JB, Dicker AP, Fenster A, Fichtinger G, Meltsner MA, Moerland MA, Nath R, Rivard MJ, Salcudean T, Song DY, Thomadsen BR, Yu Y. AAPM and GEC-ESTRO guidelines for image-guided robotic brachytherapy: report of Task Group 192. Med Phys 2015; 41:101501. [PMID: 25281939 DOI: 10.1118/1.4895013] [Citation(s) in RCA: 66] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
In the last decade, there have been significant developments into integration of robots and automation tools with brachytherapy delivery systems. These systems aim to improve the current paradigm by executing higher precision and accuracy in seed placement, improving calculation of optimal seed locations, minimizing surgical trauma, and reducing radiation exposure to medical staff. Most of the applications of this technology have been in the implantation of seeds in patients with early-stage prostate cancer. Nevertheless, the techniques apply to any clinical site where interstitial brachytherapy is appropriate. In consideration of the rapid developments in this area, the American Association of Physicists in Medicine (AAPM) commissioned Task Group 192 to review the state-of-the-art in the field of robotic interstitial brachytherapy. This is a joint Task Group with the Groupe Européen de Curiethérapie-European Society for Radiotherapy & Oncology (GEC-ESTRO). All developed and reported robotic brachytherapy systems were reviewed. Commissioning and quality assurance procedures for the safe and consistent use of these systems are also provided. Manual seed placement techniques with a rigid template have an estimated in vivo accuracy of 3-6 mm. In addition to the placement accuracy, factors such as tissue deformation, needle deviation, and edema may result in a delivered dose distribution that differs from the preimplant or intraoperative plan. However, real-time needle tracking and seed identification for dynamic updating of dosimetry may improve the quality of seed implantation. The AAPM and GEC-ESTRO recommend that robotic systems should demonstrate a spatial accuracy of seed placement ≤1.0 mm in a phantom. This recommendation is based on the current performance of existing robotic brachytherapy systems and propagation of uncertainties. During clinical commissioning, tests should be conducted to ensure that this level of accuracy is achieved. These tests should mimic the real operating procedure as closely as possible. Additional recommendations on robotic brachytherapy systems include display of the operational state; capability of manual override; documented policies for independent check and data verification; intuitive interface displaying the implantation plan and visualization of needle positions and seed locations relative to the target anatomy; needle insertion in a sequential order; robot-clinician and robot-patient interactions robustness, reliability, and safety while delivering the correct dose at the correct site for the correct patient; avoidance of excessive force on radioactive sources; delivery confirmation of the required number or position of seeds; incorporation of a collision avoidance system; system cleaning, decontamination, and sterilization procedures. These recommendations are applicable to end users and manufacturers of robotic brachytherapy systems.
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Affiliation(s)
- Tarun K Podder
- Department of Radiation Oncology, University Hospitals, Case Western Reserve University, Cleveland, Ohio 44122
| | - Luc Beaulieu
- Department of Radiation Oncology, Centre Hospitalier Univ de Quebec, Quebec G1R 2J6, Canada
| | - Barrett Caldwell
- Schools of Industrial Engineering and Aeronautics and Astronautics, Purdue University, West Lafayette, Indiana 47907
| | - Robert A Cormack
- Department of Radiation Oncology, Harvard Medical School, Boston, Massachusetts 02115
| | - Jostin B Crass
- Department of Radiation Oncology, Vanderbilt University, Nashville, Tennessee 37232
| | - Adam P Dicker
- Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, Pennsylvania 19107
| | - Aaron Fenster
- Department of Imaging Research, Robarts Research Institute, London, Ontario N6A 5K8, Canada
| | - Gabor Fichtinger
- School of Computer Science, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | | | - Marinus A Moerland
- Department of Radiotherapy, University Medical Center Utrecht, Utrecht, 3508 GA, The Netherlands
| | - Ravinder Nath
- Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, Connecticut 06520
| | - Mark J Rivard
- Department of Radiation Oncology, Tufts University School of Medicine, Boston, Massachusetts 02111
| | - Tim Salcudean
- Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada
| | - Danny Y Song
- Department of Radiation Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland 21231
| | - Bruce R Thomadsen
- Department of Medical Physics, University of Wisconsin, Madison, Wisconsin 53705
| | - Yan Yu
- Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, Pennsylvania 19107
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Urban V, Wapler M, Neugebauer J, Hiller A, Stallkamp J, Weisener T. Robot-Assisted Surgery System with Kinesthetic Feedback. ACTA ACUST UNITED AC 2010. [DOI: 10.3109/10929089809148147] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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Chui C, Kobayashi E, Chen X, Hisada T, Sakuma I. Transversely isotropic properties of porcine liver tissue: experiments and constitutive modelling. Med Biol Eng Comput 2006; 45:99-106. [PMID: 17160416 DOI: 10.1007/s11517-006-0137-y] [Citation(s) in RCA: 83] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2006] [Accepted: 11/16/2006] [Indexed: 11/24/2022]
Abstract
Knowledge of the biomechanical properties of soft tissue, such as liver, is important in modelling computer aided surgical procedures. Liver tissue does not bear mechanical loads, and, in numerical simulation research, is typically assumed to be isotropic. Nevertheless, a typical biological soft tissue is anisotropic. In vitro uniaxial tension and compression experiments were conducted on porcine cylindrical and cubical liver tissue samples respectively assuming a simplistic architecture of liver tissue with its constituent lobule and connective tissues components. With the primary axis perpendicular to the cross sectional surface of samples, the tissue is stiffer with tensile or compressive force in the axial direction compared to that of the transverse direction. At 20% strain, about twice as much force is required to elongate a longitudinal tissue sample than that of a transverse sample. Results of the study suggest that liver tissue is transversely isotropic. A combined strain energy based constitutive equation for transversely isotropic material is proposed. The improved capability of this equation to model the experimental data compared to its previously disclosed isotropic version suggests that the assumption on the fourth invariant in the constitutive equation is probably correct and that anisotropy properties of liver tissue should be considered in surgical simulation.
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Affiliation(s)
- C Chui
- Department of Mechanical Engineering, Faculty of Engineering, National University of Singapore, Singapore, Singapore.
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An automated system for precise percutaneous access of the renal collecting system. ACTA ACUST UNITED AC 2005. [DOI: 10.1007/bfb0029249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register]
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Mitschke M, Bani-Hashemi A, Navab N. Interventions under Video-Augmented X-Ray Guidance: Application to Needle Placement. MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION – MICCAI 2000 2000. [DOI: 10.1007/978-3-540-40899-4_89] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
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Taylor RH, Joskowicz L, Williamson B, Guéziec A, Kalvin A, Kazanzides P, Van Vorhis R, Yao J, Kumar R, Bzostek A, Sahay A, Börner M, Lahmer A. Computer-integrated revision total hip replacement surgery: concept and preliminary results. Med Image Anal 1999; 3:301-19. [PMID: 10710298 DOI: 10.1016/s1361-8415(99)80026-7] [Citation(s) in RCA: 83] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
This paper describes an ongoing project to develop a computer-integrated system to assist surgeons in revision total hip replacement (RTHR) surgery. In RTHR surgery, a failing orthopedic hip implant, typically cemented, is replaced with a new one by removing the old implant, removing the cement and fitting a new implant into an enlarged canal broached in the femur. RTHR surgery is a difficult procedure fraught with technical challenges and a high incidence of complications. The goals of the computer-based system are the significant reduction of cement removal labor and time, the elimination of cortical wall penetration and femur fracture, the improved positioning and fit of the new implant resulting from precise, high-quality canal milling and the reduction of bone sacrificed to fit the new implant. Our starting points are the ROBODOC system for primary hip replacement surgery and the manual RTHR surgical protocol. We first discuss the main difficulties of computer-integrated RTHR surgery and identify key issues and possible solutions. We then describe possible system architectures and protocols for preoperative planning and intraoperative execution. We present a summary of methods and preliminary results in CT image metal artifact removal, interactive cement cut-volume definition and cement machining, anatomy-based registration using fluoroscopic X-ray images and clinical trials using an extended RTHR version of ROBODOC. We conclude with a summary of lessons learned and a discussion of current and future work.
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Affiliation(s)
- R H Taylor
- Computer Science Department, The Johns Hopkins University, Baltimore, MD, USA.
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Yao J, Taylor RH, Goldberg RP, Kumar R, Bzostek A, Van Vorhis R, Kazanzides P, Gueziec A, Funda J. A Progressive Cut Refinement Scheme for Revision Total Hip Replacement Surgery Using C-arm Fluoroscopy. MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION – MICCAI’99 1999. [DOI: 10.1007/10704282_110] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
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Abstract
PURPOSE Percutaneous renal access can be challenging, particularly when the collecting system is not distended. Precise entry into a selected calyx facilitates subsequent percutaneous manipulations, but this skill requires extensive experience. In an attempt to improve accuracy while decreasing technical challenges, we developed a robotic system that automates the task of fluoroscopic image-guided percutaneous needle placement. MATERIALS AND METHODS The prototype system consisted of a three degree-of-freedom robot with a needle injector end-effector. Imaging was provided by a biplanar fluoroscope. After correction of image distortion and fluoroscope calibration, robot to image-space registration was completed. To validate the system's ability to insert a needle into a calyx, ex vivo porcine kidneys suspended in agarose gel and distended with iodinated contrast solution were used as a model. In situ renal access tests with three 20 kg. pigs were performed. Access was confirmed by passing a flexible wire or aspirating iodinated contrast from the collecting system. RESULTS The diameter of target calyces ranged from 3 to 7 mm. The in vitro accuracy of final needle tip positioning was 0.43 mm. In the ex vivo model, successful "one stick" access occurred on 10 of 12 attempts (83%). In situ access on the first attempt was successful for 6 of 12 target calyces (50%). Needle or tissue deflection accounted for each failure. CONCLUSION The feasibility of a robotic system to assist in the percutaneous access of small and delicate renal calyces has been demonstrated. Additional work in reducing procedural steps and correcting for tissue deflection during needle passage is necessary to improve accuracy and to allow for clinical application.
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