Title
Soft Tissue Deformation and Optimized Data Structures for Mass Spring Methods
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.
Year
DOI
Venue
2009
10.1109/BIBE.2009.64
Taichung
Keywords
Field
DocType
finite element method,surgical simulation community,optimized data structures,surgical procedure,different deformation setting,fem result,mass-spring method,soft tissue deformation,different approach,surgical simulation,realistic deformation,simulation method,mass spring methods,finite element modeling,data structures,computer graphic,mathematical model,real time,data structure,finite element model,computational modeling,finite element analysis,solid modeling,surgery,computer graphics,virtual reality,soft tissue,biomechanics
Data structure,Computer science,Simulation,Finite element method,Solid modeling,Deformation (mechanics),Computer graphics,Soft tissue deformation,Computation
Conference
ISSN
ISBN
Citations 
2471-7819
978-0-7695-3656-9
3
PageRank 
References 
Authors
0.43
16
5
Name
Order
Citations
PageRank
Tansel Halic18213.71
Sinan Kockara210711.25
Coşkun Bayrak319726.47
Richard Rowe430.77
Bernard Chen511415.75