New Collision Detection Algorithm for Vascular Interventional Surgery Simulation Training System

被引：0
作者：
Guo, Jian [1 ,2 ]
Wang, Zhentao [1 ,2 ]
Guo, Shuxiang [1 ,2 ,3 ]
机构：
[1] Tianjin Univ Technol, Tianjin Key Lab Control Theory & Applicat Complic, Binshui Xidao 391, Tianjin, Peoples R China
[2] Tianjin Univ Technol, Intelligent Robot Lab, Binshui Xidao 391, Tianjin, Peoples R China
[3] Kagawa Univ, Fac Engn, Dept Intelligent Mech Syst Engn, 2217-20 Hayashi Cho, Takamatsu, Kagawa 7610396, Japan
来源：
2021 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (IEEE ICMA 2021) | 2021年
基金：
中国国家自然科学基金;
关键词：
Virtual vascularsurgery; Model cutting; Collision detection; Real-time accuracy;
D O I：
10.1109/ICMA52036.2021.9512825
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In virtual vascular interventional surgery, collision detection between surgical instruments and human soft tissue is the basis for deformation and pressure calculation, and it is also a prerequisite for model cutting. Due to the high calculation and complexity in the virtual vascular surgery simulation process, the existing collision detection algorithms can not satisfy the requirements of real-time and accuracy during surgery. Drawing on the deficiencies and improvements of the soft tissue object collision detection algorithm, and combining the unique characteristics of the soft tissue deformation model, a new soft tissue hybrid collision detection algorithm is proposed. Through the two stages of rough detection and precise detection, a large number of redundant calculations in the original collision detection algorithm are omitted, and the response time of collision detection is greatly reduced. Experiments are compared with the other two algorithms to verify that its real-time performance and accuracy have been improved.
引用
收藏
页码：926 / 931
页数：6
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