@inproceedings{80917615b2e046f89545a90b6b7c0a22,
title = "A GPU-based approach to compute the brain shift using a fully nonlinear biomechanical model",
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.",
keywords = "Brain shift prediction, Complex mesh, Multi-GPU",
author = "Ye Tian and Xukun Shen",
note = "Publisher Copyright: {\textcopyright} 2015 SPIE.; 3rd International Conference on Optical and Photonic Engineering, icOPEN 2015 ; Conference date: 14-04-2015 Through 16-04-2015",
year = "2015",
doi = "10.1117/12.2189610",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Yu Fu and Asundi, \{Anand K.\}",
booktitle = "International Conference on Optical and Photonic Engineering, icOPEN 2015",
address = "美国",
}