Modeling and Simulation of Soft Tissue Deformation

被引:0
|
作者
Duan, Yuping [1 ]
Huang, Weimin [1 ]
Chang, Huibin [2 ]
Chen, Wenyu [1 ]
Toe, Kyaw Kyar [1 ]
Zhou, Jiayin [1 ]
Yang, Tao [1 ]
Liu, Jiang [1 ]
Teo, Soo Kng [3 ]
Lim, Chi Wan [3 ]
Su, Yi [3 ]
Chui, Chee Kong [4 ]
Chang, Stephen [5 ]
机构
[1] ASTAR, Inst Infocomm Res, 1 Fusionopolis Way, Singapore 138632, Singapore
[2] Tianjin Normal Univ, Dept Math Sci, Tianjin 300387, Peoples R China
[3] ASTAR, Inst High Performance Comp, Singapore 138632, Singapore
[4] Natl Univ Singapore, Dept Mech Engn, Singapore 119077, Singapore
[5] Natl Univ Singapore Hosp, Singapore 119074, Singapore
关键词
Physically based modeling; mass-spring; time integration; surgery simulation; volume preservation;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A stable and accurate deformable model to simulate the deformation of soft tissues is a challenging area of research. This paper describes a soft tissue simulation method that can deform multiple organs synchronously and interact with virtual surgical instruments accurately. The model we used in our method is a multi-organ system by point masses and springs. The organs that anatomically connect to each other are jointed together by high stiffness springs. Here we propose a volume preserved mass-spring model for simulation of soft organ deformation. It does not rely on any direct constraint on the volume of tetrahedrons, but rather two constraints on the length of springs and the third constraint on the direction of springs. To provide reliable interaction between the soft tissues and kinematic instruments we incorporate the position-based attachment to accurately move the soft tissue with the tools. Experiments have been designed for evaluation of our method on porcine organs. Using a pair of freshly harvested porcine liver and gallbladder, the real organ deformation is CT scanned as ground truth for evaluation. Compared to the porcine model, our model achieves a mean absolute error 1.5024 mm on landmarks with a overall surface error 1.2905 mm for a small deformation (the deformation of the hanging point is 49.1091 mm) and a mean absolute error 2.9317 mm on landmarks with a overall surface error 2.6400 mm for a large deformation (the deformation of the hanging point is 83.1376 mm). The change of volume for the two deformations are limited to 0.22% and 0.59%, respectively. Finally, we show that the proposed model is able to simulate the large deformation of the liver and gallbladder system in real-time calculations.
引用
收藏
页码:221 / 230
页数:10
相关论文
共 50 条
  • [1] The Physical Modeling and Simulation of Soft Tissue Deformation Based on LSSVM
    Wang Tian
    Zhao Fang
    Li Zhuqiang
    Wang Yutong
    Han Jinliang
    [J]. 2015 34TH CHINESE CONTROL CONFERENCE (CCC), 2015, : 1929 - 1934
  • [2] Energy propagation modeling of nonlinear soft tissue deformation for surgical simulation
    Zhang, Jinao
    Zhong, Yongmin
    Smith, Julian
    Gu, Chengfan
    [J]. SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2018, 94 (01): : 3 - 10
  • [3] Local deformation for soft tissue simulation
    Omar, Nadzeri
    Zhong, Yongmin
    Smith, Julian
    Gu, Chengfan
    [J]. BIOENGINEERED, 2016, 7 (05) : 291 - 297
  • [4] 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
  • [5] Simulation of Soft Tissue Deformation: a New Approach
    Oliveira, Ana C. M. T. G.
    Tori, Romero
    Brito, Wyllian
    dos Santos, Jessica
    Biscaro, Helton H.
    Nunes, Fatima L. S.
    [J]. 2013 IEEE 26TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), 2013, : 17 - 22
  • [6] An initial approach to deformation modeling for soft tissue
    Chen, HJ
    Fan, S
    Sing, NW
    Shi, DM
    [J]. CARS 2005: COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2005, 1281 : 1380 - 1380
  • [7] Research on simulation of soft tissue deformation in virtual orthodontics
    Ji Feng
    [J]. ICAT 2006: 16TH INTERNATIONAL CONFERENCE ON ARTIFICIAL REALITY AND TELEXISTENCE - WORSHOPS, PROCEEDINGS, 2006, : 318 - 322
  • [8] Modelling of soft tissue deformation for laparoscopic surgery simulation
    Székely, G
    Brechbühler, C
    Hutter, R
    Rhomberg, A
    Schmid, P
    [J]. MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI'98, 1998, 1496 : 550 - 561
  • [9] Study of the simulation of soft tissue deformation in virtual surgery
    Yan, L.
    Wang, J.
    Shi, J.
    [J]. Xitong Fangzhen Xuebao / Journal of System Simulation, 2001, 13 (03): : 294 - 296
  • [10] Finite-element simulation of soft tissue deformation
    Zachow, S
    Gladiline, E
    Hege, HC
    Deuflhard, P
    [J]. CARS 2000: COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2000, 1214 : 23 - 28