杨景, 于凌涛, 王岚, 汤泽旭, 李艳辉. 基于特征参数与双协作空间的腹腔微创手术机器人术前规划[J]. 机器人, 2017, 39(2): 230-238. DOI: 10.13973/j.cnki.robot.2017.0230
引用本文: 杨景, 于凌涛, 王岚, 汤泽旭, 李艳辉. 基于特征参数与双协作空间的腹腔微创手术机器人术前规划[J]. 机器人, 2017, 39(2): 230-238. DOI: 10.13973/j.cnki.robot.2017.0230
YANG Jing, YU Lingtao, WANG Lan, TANG Zexu, LI Yanhui. Preoperative Planning of a Celiac Minimally Invasive Surgery Robot Based on Feature Parameters and Double Collaboration Space[J]. ROBOT, 2017, 39(2): 230-238. DOI: 10.13973/j.cnki.robot.2017.0230
Citation: YANG Jing, YU Lingtao, WANG Lan, TANG Zexu, LI Yanhui. Preoperative Planning of a Celiac Minimally Invasive Surgery Robot Based on Feature Parameters and Double Collaboration Space[J]. ROBOT, 2017, 39(2): 230-238. DOI: 10.13973/j.cnki.robot.2017.0230

基于特征参数与双协作空间的腹腔微创手术机器人术前规划

Preoperative Planning of a Celiac Minimally Invasive Surgery Robot Based on Feature Parameters and Double Collaboration Space

  • 摘要: 针对机器人辅助微创手术术前规划困难的问题,提出一种多目标术前规划优化算法,该算法在保证持械臂在腹腔内有足够的协作空间的基础上,尽可能地避免了运动干涉.首先建立人工气腹的数学模型,并基于病灶特征参数得到最优手术切口位置.其次,基于圆柱体包围盒,建立腹腔外协作空间指标,通过腹腔内协作空间与腹腔外协作空间的双协作空间评价指标,得到机械臂最优摆位角度.最后,结合给定的一组病灶参数阐述算法的实现流程,通过该算法得到了在该病灶参数下最优的手术切口位置和摆位角度.

     

    Abstract: For the preoperative planning problems of robot-assisted minimally invasive surgery, a multi-objective pre-operative planning algorithm is proposed. On the basis of ensuring the enough collaboration space of the instrument arms in abdominal cavity, movement interference among them is avoided as much as possible. Firstly, the mathematical model of the artificial pneumoperitoneum is established, and the optimal incision location is obtained based on the feature parameters of lesion. Secondly, the index of collaboration space outside abdominal cavity is established based on the cylinder bounding box, and the optimal placement angle of the robot is obtained according to the double collaboration space index composed of the collaboration spaces inside and outside abdominal cavity. Finally, the implementation process of the algorithm is described in detail with a set of given lesion parameters, and the optimal incision position and the placement angle are obtained by the algorithm.

     

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