基于协作空间与灵巧度的机器人辅助微创手术术前规划算法

doi:10.13973/j.cnki.robot.2016.0208

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引用本文:
王伟, 王伟东, 董为, 杜志江, 孙永平. 基于协作空间与灵巧度的机器人辅助微创手术术前规划算法[J]. 机器人, 2016, 38(2): 208-216.DOI: 10.13973/j.cnki.robot.2016.0208. WANG Wei, WANG Weidong, DONG Wei, DU Zhijiang, SUN Yongping. A Preoperative Planning Algorithm Based on Dexterity and CollaborationSpace for the Robot-Assisted Minimally Invasive Surgery. ROBOT, 2016, 38(2): 208-216. DOI: 10.13973/j.cnki.robot.2016.0208.

摘要

机器人辅助微创外科手术的术前准备工作相对于传统微创手术更加复杂和关键．为了提高手术执行效率，充分利用机器人特性，本文以机械臂的运动学性能和器械间的协作能力作为优化目标，相应地提出了机械臂灵巧度指标 IICV 与体内协作空间指标 IICS，设计了一套基于 NSGA-II 的多目标术前规划方法，将微创手术介入位置选择与机械臂初始位姿优化两类术前规划问题作为统一整体优化．最后，将由术前规划算法优化得到的系统性能指标与医生凭借经验给出的结果进行比较．实验结果表明，由优化算法得到的术前规划方案优势明显，能够为机器人辅助微创手术操作提供一个相对理想的手术执行环境．

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关键词 ：微创外科手术机器人, 术前规划, NSGA-II, 灵巧度

Abstract：

Compared with the traditional minimally invasive surgery, the preoperative preparation of the robot-assisted minimally invasive surgery is more critical and complex. For the purposes of improving the operation efficiency and making full use of the characteristics of the robot, the kinematic performance of the manipulator as well as the collaborative capability between instruments are taken as the optimization objectives, and a new dexterity index named IICV for robot-assisted minimally invasive surgery and the internal collaboration space index named IICS are proposed. A set of multi-objective preoperative optimization methods based on NSGA-II are designed to optimize the incision placement and initialize the pose of the manipulator as a unified whole. Finally, a comparison between the preoperative planning schemes generated by the optimization algorithm and recommended by an experienced surgeon is performed. The experimental result shows that the preoperative planning scheme obtained by the optimization algorithm is effective, and it can provide a relatively superior operating environment for robot-assisted minimally invasive surgery.

Key words： minimally invasive surgery robot preoperative planning NSGA-II dexterity

收稿日期: 2015-12-07 录用日期: 2016-03-04

TP24

基金资助:

国家 863 计划（2009AA044001）

通讯作者: 杜志江，duzj01@hit.edu.cn E-mail: duzj01@hit.edu.cn

作者简介: 尹建芹（1978-），女，博士，副教授.研究领域：图像处理，模式识别与机器学习.
刘小丽（1993-），女，硕士生.研究领域：模式识别与机器学习.
田国会（1969-），男，博士，教授.研究领域：智能空间与服务机器人.

链接本文:

https://robot.sia.cn/CN/10.13973/j.cnki.robot.2016.0208 或 https://robot.sia.cn/CN/Y2016/V38/I2/208

[1] Austad A, Elle O J, Røtnes J S. Computer-aided planning of trocar placement and robot settings in robot-assisted surgery[C]// 15th International Congress and Exhibition on Computer Assisted Radiology and Surgery. Amsterdam, Netherlands: Elsevier, 2001: 981-986.

[2] Pick D L, Lee D I, Skarecky DW, et al. Anatomic guide for port placement for daVinci robotic radical prostatectomy[J]. Journal of Endourology, 2004, 18(6): 572-575.

[3] Badani K K, Muhletaler F, Fumo M, et al. Optimizing robotic renal surgery: The lateral camera port placement technique and current results[J]. Journal of Endourology, 2008, 22(3): 507- 510.

[4] Cestari A, Buffi N M, Scapaticci E, et al. Simplifying patient positioning and port placement during robotic-assisted laparoscopic prostatectomy[J]. European Urology, 2010, 57(3): 530- 533.

[5] Ferzli G S, Fingerhut A. Trocar placement for laparoscopic abdominal procedures: A simple standardized method[J]. Journal of the American College of Surgeons, 2004, 198(1): 163-173.

[6] Bauernschmitt R, Feuerstein M, Traub J, et al. Optimal port placement and enhanced guidance in robotically assisted cardiac surgery[J]. Surgical Endoscopy and Other Interventional Techniques, 2007, 21(4): 684-687.

[7] Yeniaras E, Deng Z G, Syed M A, et al. A novel virtual reality environment for preoperative planning and simulation of image guided intracardiac surgeries with robotic manipulators[J]. Studies in Health Technology and Informatics, 2011, 163: 716- 722.

[8] Konietschke R, Bodenmüller T, Rink C, et al. Optimal setup of the DLR MiroSurge telerobotic system for minimally invasive surgery[C]//IEEE International Conference on Robotics and Automation. Piscataway, USA: IEEE, 2011: 3435-3436.

[9] Hayashibe M, Suzuki N, Hashizume M, et al. Preoperative planning system for surgical robotics setup with kinematics and haptics[ J]. International Journal of Medical Robotics and Computer Assisted Surgery, 2005, 1(2): 76-85.

[10] Sun L W, van Meer F, Schmid J, et al. Advanced da Vinci surgical system simulator for surgeon training and operation planning[ J]. International Journal of Medical Robotics and Computer Assisted Surgery, 2007, 3(3): 245-251.

[11] Hayashibe M, Suzuki N, Hashizume M, et al. Robotic surgery setup simulation with the integration of inverse-kinematics computation and medical imaging[J]. Computer Methods and Programs in Biomedicine, 2006, 83(1): 63-72.

[12] Trejos A L, Patel R V. Port placement for endoscopic cardiac surgery based on robot dexterity optimization[C]//IEEE International Conference on Robotics and Automation. Piscataway, USA: IEEE, 2005: 912-917.

[13] Sun L W, Yeung C K. Port placement and pose selection of the da Vinci surgical system for collision-free intervention based on performance optimization[C]//IEEE/RSJ International Conference on Intelligent Robots and Systems. Piscataway, USA: IEEE, 2007: 1951-1956.

[14] Adhami L, Coste-Manière ` E. Optimal planning for minimally invasive surgical robots[J]. IEEE Transactions on Robotics and Automation, 2003, 19(5): 854-863.

[15] Konietschke R,Weiss H, Ortmaier T, et al. A preoperative planning procedure for robotically assisted minimally invasive interventions[ J]. Lecture Notes in Computer Science, CURAC, 2004.

[16] Azimian H. Preoperative planning of robotics-assisted minimally invasive cardiac surgery under uncertainty[D]. London, Canadian: The University of Western Ontario, 2012.

[17] Yoshikawa T. Manipulability of robotic mechanisms[J]. International Journal of Robotics Research, 1985, 4(2): 3-9.

[18] Gosselin C M. Dexterity indices for planar and spatial robotic manipulators[C]//IEEE International Conference on Robotics and Automation. Piscataway, USA: IEEE, 1990: 650-655.

[19] Cardou P, Bouchard S, Gosselin C. Kinematic-sensitivity indices for dimensionally nonhomogeneous Jacobian matrices[J]. IEEE Transactions on Robotics, 2010, 26(1): 166-173.

[20] Gosselin C, Angeles J. A global performance index for the kinematic optimization of robotic manipulators[J]. Journal of Mechanical Design, 1991, 113(3): 220-226.

[21] Wang W, Wang W D, Dong W, et al. Dimensional optimization of a minimally invasive surgical robot system based on NSGA-II algorithm[J]. Advances in Mechanical Engineering, 2015, 7(2): No.1687814014568541.