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GPU-based high-performance computing for radiation therapy

delete2014-02-03
delete114
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OA
AI
X
Xun Jia *
P
Peter Ziegenhein
S
Steve Jiang
DOI:10.1088/0031-9155/59/4/R151delete
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Abstract

Abstract

En 中文
Recent developments in radiotherapy therapy demand high computation powers to solve challenging problems in a timely fashion in a clinical environment. The graphics processing unit (GPU), as an emerging high-performance computing platform, has been introduced to radiotherapy. It is particularly attractive due to its high computational power, small size, and low cost for facility deployment and maintenance. Over the past few years, GPU-based high-performance computing in radiotherapy has experienced rapid developments. A tremendous amount of study has been conducted, in which large acceleration factors compared with the conventional CPU platform have been observed. In this paper, we will first give a brief introduction to the GPU hardware structure and programming model. We will then review the current applications of GPU in major imaging-related and therapy-related problems encountered in radiotherapy. A comparison of GPU with other platforms will also be presented.
Keywords:
graphics processing units
high-performance computing
radiation therapy

Journal

Physics in Medicine and Biology cover
Physics in Medicine and Biology
IF:
3.4
Papers:
1.4W
Citations:
3.1W

Organization

U
university of texas southwestern medical center dallas
Scholars:
1.8W
Papers: 1.4W
Citations: 28
U
university of texas system
Scholars:
18.5W
Papers: 15.6W
Citations: 210
Cited Papers

Cited Papers

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4D cone beam CT via spatiotemporal tensor framelet
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errGao, Hao; Li, Ruijiang; Lin, Yuting; Xing, Lei
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GPU-based fast gamma index calculation
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errOAAI
errGu, Xuejun; Jia, Xun; Jiang, Steve B.
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CT to cone-beam CT deformable registration with simultaneous intensity correction
err2012-10-03
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errOAAI
errZhen, Xin; Gu, Xuejun; Yan, Hao; Zhou, Linghong; Jia, Xun; Jiang, Steve B.
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A convolution-superposition dose calculation engine for GPUs
err2010-02-08
err28
PREAI
errHissoiny, Sami; Ozell, Benoit; Despres, Philippe
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GPU-based fast cone beam CT reconstruction from undersampled and noisy projection data via total variation
err2010-03-25
err229
errOAAI
errJia, Xun; Lou, Yifei; Li, Ruijiang; Song, William Y.; Jiang, Steve B.
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