DocumentCode :
3074542
Title :
Soft Tissue Deformation and Optimized Data Structures for Mass Spring Methods
Author :
Halic, T. ; Kockara, S. ; Bayrak, C. ; Rowe, R. ; Chen, B.
fYear :
2009
fDate :
22-24 June 2009
Firstpage :
45
Lastpage :
52
Abstract :
One of the essential components of a virtual reality surgical simulation is deformation. Deformations in computer graphics and surgical simulations are commonly modeled with three different approaches e.g. geometry based methods, Finite Element method (FEM), and Mass-spring Method (MSM). The geometry based methods are quite fast and visually appealing. Late two methods take the physics of deformation into consideration. Even though the FEM results in more physically realistic deformations, a significant drawback of this method is its expensive computation cost and vulnerability to surgical procedures such as incision. However, MSM is relatively computationally inexpensive.Because of the real-time physics based behavior of MSM, it is widely accepted by surgical simulation community. This study summarizes deformation simulation methods and their pros and cons for surgical simulations. Moreover, because of wide usage of the MSM, optimized data structures for MSM are provided and analyzed under different deformation settings.
Keywords :
biological tissues; biomechanics; finite element analysis; medical computing; surgery; virtual reality; computer graphics; finite element method; geometry based method; mass spring method; mass-spring method; optimized data structure; soft tissue deformation; surgical simulation community; virtual reality surgical simulation; Biological tissues; Computational modeling; Data structures; Deformable models; Optimization methods; Physics computing; Solid modeling; Springs; Surgery; Virtual reality; finite element modeling; mass spring modeling; soft tissue deformation; surgical simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and BioEngineering, 2009. BIBE '09. Ninth IEEE International Conference on
Conference_Location :
Taichung
Print_ISBN :
978-0-7695-3656-9
Type :
conf
DOI :
10.1109/BIBE.2009.64
Filename :
5211316
Link To Document :
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