Real-Time simulation of deformable soft tissue based on mass-spring and medial representation

Authors:
Shaoting Zhang;Lixu Gu;Pengfei Huang;Jianfeng Xu
Affiliations:
School of Software, Shanghai Jiaotong University, Shanghai, P.R. China;School of Software, Shanghai Jiaotong University, Shanghai, P.R. China;School of Software, Shanghai Jiaotong University, Shanghai, P.R. China;Computer Science, Shanghai Jiaotong University, Shanghai, P.R.China
Venue:
CVBIA'05 Proceedings of the First international conference on Computer Vision for Biomedical Image Applications
Year:
2005

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Abstract

In this paper, we present a novel deformable model for soft tissue simulation in a real-time manner. The innovative model consists of two sub-models: the surface one and the internal one, which are based on Mass-Spring system and Medial Representation respectively. This proposed model is more accurate and efficient than the pure surface Mass-Spring one by taking advantages of Medial Representation to reflect inner attributes of soft tissue. We also optimize the Mass-Spring system in order to refine the appearance of soft tissue movement and reduce its complexity. A real clinical model using a segmented left-kidney is presented as an example in our case study.