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Proceedings Paper

A GPU-based approach to compute the brain shift using a fully nonlinear biomechanical model
Author(s): Ye Tian; Xukun Shen
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Paper Abstract

We present a brain shift prediction algorithm which is based on multi-GPU. Our algorithm can calculate on more complex mesh model. The proposed algorithm mainly includes two aspects. On the one hand, we present a grid-based algorithm for the generation of hexahedral element meshes. It can automatically divide the complex and high quality of hexahedral mesh without manual operation. On the other hand, we implementation a non-linear brain shift prediction algorithm. It is designed to run on a GPU server. The experiment results demonstrate that the proposed algorithm can quickly calculate the results on complex mesh.

Paper Details

Date Published: 17 July 2015
PDF: 6 pages
Proc. SPIE 9524, International Conference on Optical and Photonic Engineering (icOPEN 2015), 95241Z (17 July 2015); doi: 10.1117/12.2189610
Show Author Affiliations
Ye Tian, BeiHang Univ. (China)
Xukun Shen, BeiHang Univ. (China)

Published in SPIE Proceedings Vol. 9524:
International Conference on Optical and Photonic Engineering (icOPEN 2015)
Anand K. Asundi; Yu Fu, Editor(s)

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