A survey of medical image registration on graphics hardware

被引:61
作者
Fluck, O. [1 ,2 ]
Vetter, C. [1 ,3 ]
Wein, W. [1 ]
Kamen, A. [1 ]
Preim, B. [2 ]
Westermann, R. [3 ]
机构
[1] Siemens Corp Res, Princeton, NJ 08540 USA
[2] Univ Magdeburg, Dept Comp Sci, D-39106 Magdeburg, Germany
[3] Tech Univ Munich, Dept Comp Sci, D-85748 Garching, Germany
关键词
Medical imaging; Image registration; Acceleration; Graphics hardware; GPU;
D O I
10.1016/j.cmpb.2010.10.009
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The rapidly increasing performance of graphics processors, improving programming support and excellent performance-price ratio make graphics processing units (GPUs) a good option for a variety of computationally intensive tasks. Within this survey, we give an overview of GPU accelerated image registration. We address both, GPU experienced readers with an interest in accelerated image registration, as well as registration experts who are interested in using GPUs. We survey programming models and interfaces and analyze different approaches to programming on the GPU. We furthermore discuss the inherent advantages and challenges of current hardware architectures, which leads to a description of the details of the important building blocks for successful implementations. (C) 2010 Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码:E45 / E57
页数:13
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