• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

Computer Engineering & Science

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Ligaturing simulation of liver blood vessels
based on an improved collision detection algorithm

LIU Min1,XIONG Yueshan1,TAN Ke2,PAN Xinhua2     

  1. (1.College of Computer,National University of Defense Technology,Changsha 410073;
    2.Educational Technology Center,the PLA General Hospital,Beijing 100853,China)
  • Received:2015-05-06 Revised:2015-07-16 Online:2017-01-25 Published:2017-01-25

Abstract:

We propose an improved collision detection algorithm for ligaturing simulation of liver blood vessels in virtual liver surgery. The improved algorithm mainly includes three aspects: selfcollision detection of suture, motion decomposition of suture, and collision detection of suture and blood vessels. We employ the follow the leader (FTL) algorithm to configure the motion of suture, and temporary restrictions are set to achieve the suture’s “equivalent friction”. The bounding volume hierarchies (BVH) method increases the efficiency of suture’s selfcollision detection, and the motion decomposition method manages to prevent penetrations. The integration of the BVH method and the grid method can handle the collision detection of suture and liver blood vessels. Moreover, a rigid core is used to limit the deformation of liver blood vessels mesh, and a virtual mass spring is used to implement the haptic feedback of ligaturing simulation. The improved algorithm works well for the ligaturing simulation of liver blood vessels in virtual liver surgery.

Key words: ligaturing simulation, collision detection, motion decomposition, haptic feedback