Ellipsoid bounding region-based ChainMail algorithm for soft tissue deformation in surgical simulation

被引:12
|
作者
Zhang J. [1 ]
Zhong Y. [1 ]
Gu C. [1 ]
机构
[1] School of Engineering, RMIT University, PO Box 71, Bundoora, 3083, VIC
关键词
ChainMail algorithm; Force interaction; Real-time systems; Soft tissue deformation; Surgical simulation;
D O I
10.1007/s12008-017-0437-5
中图分类号
学科分类号
摘要
Real-time modelling of force interaction with soft tissues is of great importance for interactive surgical simulation. This paper presents a new ChainMail algorithm for real-time modelling of soft tissue deformation under force interaction. Unlike traditional ChainMails using a box-shaped bounding region, the proposed method defines an ellipsoid-shaped bounding region according to the concept of principal strains in continuum mechanics to control the movement of chain elements. Based on this ellipsoid-shaped bounding region, new position adjustment rules are developed and further integrated with temporal-domain model dynamics for dynamic simulation of soft tissue deformation. Haptic interaction with soft tissues is achieved via force input, soft tissue deformation, and force feedback. Experimental results demonstrate that the proposed ChainMail can simulate soft tissue mechanical behaviours, accommodate isotropic and homogeneous, anisotropic and heterogeneous materials, and handle large deformation. The proposed ChainMail also requires only small computational time, capable of achieving real-time computational performance. © 2017, Springer-Verlag France SAS, part of Springer Nature.
引用
收藏
页码:903 / 918
页数:15
相关论文
共 50 条
  • [1] ChainMail based neural dynamics modeling of soft tissue deformation for surgical simulation
    Zhang, Jinao
    Zhong, Yongmin
    Smith, Julian
    Gu, Chengfan
    [J]. TECHNOLOGY AND HEALTH CARE, 2017, 25 : S231 - S239
  • [2] Soft tissue deformation for surgical simulation: a position-based dynamics approach
    Camara, Mafalda
    Mayer, Erik
    Darzi, Ara
    Pratt, Philip
    [J]. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2016, 11 (06) : 919 - 928
  • [3] Soft tissue deformation for surgical simulation: a position-based dynamics approach
    Mafalda Camara
    Erik Mayer
    Ara Darzi
    Philip Pratt
    [J]. International Journal of Computer Assisted Radiology and Surgery, 2016, 11 : 919 - 928
  • [4] Region-based deformation transfer
    Khac-Phong Do
    Thi-Chau Ma
    Hoang-Giang Cao
    Nguyen Thi Thu An
    [J]. PROCEEDINGS OF 2018 5TH NAFOSTED CONFERENCE ON INFORMATION AND COMPUTER SCIENCE (NICS 2018), 2018, : 205 - 210
  • [5] Meshless algorithm for soft tissue cutting in surgical simulation
    Jin, Xia
    Joldes, Grand Roman
    Miller, Karol
    Yang, King H.
    Wittek, Adam
    [J]. COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING, 2014, 17 (07) : 800 - 811
  • [6] Neural network modelling of soft tissue deformation for surgical simulation
    Zhang, Jinao
    Zhong, Yongmin
    Gu, Chengfan
    [J]. ARTIFICIAL INTELLIGENCE IN MEDICINE, 2019, 97 : 61 - 70
  • [7] A surgical simulation system for predicting facial soft tissue deformation
    Xiaodong Tang
    Jixiang Guo
    Peng Li
    Jiancheng Lv
    [J]. Computational Visual Media, 2016, 2 (02) : 163 - 171
  • [8] A surgical simulation system for predicting facial soft tissue deformation
    Tang X.
    Guo J.
    Li P.
    Lv J.
    [J]. Computational Visual Media, 2016, 2 (2) : 163 - 171
  • [9] A new ChainMail approach for real-time soft tissue simulation
    Zhang, Jinao
    Zhong, Yongmin
    Smith, Julian
    Gu, Chengfan
    [J]. BIOENGINEERED, 2016, 7 (04) : 246 - 252
  • [10] Region-based Segmentation of Social Images Using Soft KNN Algorithm
    Wazarkar, Seema
    Keshavamurty, Bettahally N.
    Hussain, Ahsan
    [J]. 6TH INTERNATIONAL CONFERENCE ON SMART COMPUTING AND COMMUNICATIONS, 2018, 125 : 93 - 98