Kapoor Ankur, Li Ming, Taylor Russell H
Dept. of Computer Science, Johns Hopkins University, USA.
Med Image Comput Comput Assist Interv. 2005;8(Pt 2):89-96. doi: 10.1007/11566489_12.
We address the problem of the stitching task in endoscopic surgery using a circular needle under robotic assistance. Our main focus is to present an algorithm for suturing using guidance virtual fixtures (VF) that assist the surgeon to move towards a desired goal. A weighted multi-objective, constraint optimization framework is used to compute the joint motions required for the tasks. We show that with the help of VF, suturing can be performed at awkward angles without multiple trials, thus avoiding damage to tissue. In this preliminary study we show the feasibility of our approach and demonstrate the promise of cooperative assistance in complex tasks such as suturing.
我们研究了在机器人辅助下使用圆形针进行内窥镜手术中的缝合任务问题。我们的主要重点是提出一种使用引导虚拟夹具(VF)进行缝合的算法,该算法可帮助外科医生朝着期望的目标移动。使用加权多目标约束优化框架来计算任务所需的关节运动。我们表明,借助VF,可以在尴尬的角度进行缝合而无需多次尝试,从而避免对组织造成损伤。在这项初步研究中,我们展示了我们方法的可行性,并证明了在诸如缝合等复杂任务中协同辅助的前景。