DocumentCode
1573530
Title
A Finite Element Method Based Deformable Brain Atlas Suited for Surgery Simulation
Author
Gao, Chunping ; Tay, Francis E H ; Nowinski, Wieslaw L.
Author_Institution
Dept. of Mechanical Eng., Nat. Univ. of Singapore
fYear
2005
fDate
6/27/1905 12:00:00 AM
Firstpage
4337
Lastpage
4340
Abstract
Brain atlases are valuable tools that assist neurosurgeons during the planning of an intervention. Since current printed and digitalized brain atlas have several disadvantages, including lack of physical descriptions of brain structures and incompatibility with finite element analysis, we have developed a meshed brain atlas for finite element analysis of surgical procedures. Our meshed atlas is a multiple-object FE model integrated with knowledge of mechanical properties of brain tissue with detailed anatomical information. A non-linear hyper-viscoelastic mechanical property typically suited for neurosurgery simulation is incorporated. We then partially validated the utility of this model by numerical simulation of a gravity-induced brain deformation scenario. This meshed atlas is able to account for the deformation of both the whole brain and individual structures. It can be applied in large scale finite element simulations and, therefore, offers the possibility of developing bio-mechanical surgical planning and training systems
Keywords
biological tissues; biomechanics; brain; deformation; medical computing; mesh generation; physiological models; surgery; viscoelasticity; biomechanical surgical planning; brain tissue; deformable brain atlas; deformation; detailed anatomical information; finite element method; meshed brain atlas; multiple-object FE model; neurosurgeons; nonlinear hyperviscoelastic mechanical property; surgery simulation; Biology computing; Brain modeling; Deformable models; Finite element methods; Image segmentation; Material properties; Mesh generation; Neurosurgery; Solid modeling; Surgery; Brain atlas; modeling; simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location
Shanghai
Print_ISBN
0-7803-8741-4
Type
conf
DOI
10.1109/IEMBS.2005.1615425
Filename
1615425
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