GPU computing in medical physics: A review

被引：228

作者：

Pratx, Guillem ^{[1
]}

Xing, Lei ^{[1
]}

机构：

[1] Stanford Univ, Sch Med, Dept Radiat Oncol, Stanford, CA 94305 USA

来源：

MEDICAL PHYSICS | 2011年 / 38卷 / 05期

基金：

美国国家科学基金会;

关键词：

graphics processing units; high-performance computing; image segmentation; dose calculation; image processing; SUPERPOSITION DOSE CALCULATION; DEFORMABLE IMAGE REGISTRATION; REAL-TIME RECONSTRUCTION; GRAPHICS HARDWARE; 3D; IMPLEMENTATION; ALGORITHMS; ACCELERATION; OPTIMIZATION; SEGMENTATION;

D O I：

10.1118/1.3578605

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

The graphics processing unit (GPU) has emerged as a competitive platform for computing massively parallel problems. Many computing applications in medical physics can be formulated as data-parallel tasks that exploit the capabilities of the GPU for reducing processing times. The authors review the basic principles of GPU computing as well as the main performance optimization techniques, and survey existing applications in three areas of medical physics, namely image reconstruction, dose calculation and treatment plan optimization, and image processing. (C) 2011 American Association of Physicists in Medicine. [DOI: 10.1118/1.3578605]

引用

页码：2685 / 2697

页数：13

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