DocumentCode
2759221
Title
Predicting Soft Tissue Deformation Based on an Improved Biomechanical Model
Author
Wang, Shengzheng ; Yang, Jie ; Shi, Chaojian
Author_Institution
Merchant Marine Coll., Shanghai Maritime Univ., Shanghai, China
Volume
2
fYear
2009
fDate
25-26 July 2009
Firstpage
242
Lastpage
245
Abstract
This paper presents an improved biomechanical model for the prediction of the soft tissues in the plastic surgical simulator. The new model is built on nonlinear finite mixed-element method (NFM-EM) in which the internal soft tissues (muscles and fat) are discretized into tetrahedral solid elements and the skin tissues into triangular shell elements, which distinguishes between the internal soft tissues and the skin in their geometrical structures, and addresses the non-homogenous problem of the facial soft tissues in their biomechanical characteristics. Moreover, after the investigation of the three different nonlinear strain-potential models, the biomechanical characteristics of the skin and the internal soft tissues are modeled with the most suitable one. The quantitative validation and the comparative results with other models illustrated the effectiveness of the approach on the simulation of complex cranio-facial surgery.
Keywords
biomechanics; bone; deformation; finite element analysis; orthopaedics; physiological models; skin; surgery; biomechanical model; bone repositioning; cranio-facial surgery; nonhomogenous problem; nonlinear finite mixed-element method; plastic surgical simulator; skin tissue deformation; strain-potential model; tetrahedral solid element; triangular shell element; Biological materials; Biological tissues; Content addressable storage; Deformable models; Muscles; Plastics; Predictive models; Skin; Solid modeling; Surgery; biomechanics; nonlinear finite mixed-element method; plastic surgery; soft tissue deformation;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology and Computer Science, 2009. ITCS 2009. International Conference on
Conference_Location
Kiev
Print_ISBN
978-0-7695-3688-0
Type
conf
DOI
10.1109/ITCS.2009.184
Filename
5190225
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