Soft Tissue Deformation Model Based on Marquardt Algorithm and Enrichment Function
作者机构:Jiangsu Engineering Center of Network MonitoringEngineering Research Center of Digital ForensicsMinistry of EducationSchool of Computer and SoftwareNanjing University of Information Science&TechnologyNanjing210044China Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment TechnologyNanjing University of Information Science&TechnologyNanjing210044China State Key Laboratory of BioelectronicsJiangsu Key Lab of Remote Measurement and ControlSchool of Instrument Science and EngineeringSoutheast UniversityNanjing210096China
出 版 物:《Computer Modeling in Engineering & Sciences》 (工程与科学中的计算机建模(英文))
年 卷 期:2020年第124卷第9期
页 面:1131-1147页
核心收录:
学科分类:08[工学] 0812[工学-计算机科学与技术(可授工学、理学学位)]
基 金:This work was supported,in part,by the National Nature Science Foundation of China under grant numbers 61502240,61502096,61304205,61773219 in part,by the Natural Science Foundation of Jiangsu Province under grant number BK20191401 in part,by the Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD)fund in part,by the Collaborative Innovation Center of Atmospheric Environment and Equipment Technology(CICAEET)fund
主 题:Virtual surgery meshless model Marquardt algorithm enrichment function soft tissue simulation
摘 要:In order to solve the problem of high computing cost and low simulation accuracy caused by discontinuity of incision in traditional meshless model,this paper proposes a soft tissue deformation model based on the Marquardt algorithm and enrichment *** model is based on the element-free Galerkin method,in which Kelvin viscoelastic model and adjustment function are *** algorithm is applied to fit the relation between force and displacement caused by surface deformation,and the enrichment function is applied to deal with the discontinuity in the meshless *** verify the validity of the model,the Sensable Phantom Omni force tactile interactive device is used to simulate the deformations of stomach and *** results show that the proposed model improves the real-time performance and accuracy of soft tissue deformation simulation,which provides a new perspective for the application of the meshless method in virtual surgery.