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Proceedings Paper

Efficient registration method of medical images using GPU
Author(s): Tsuneya Kurihara; Kazuki Matsuzaki; Kumiko Seto; Yoshihiko Nagamine
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Paper Abstract

Registration of medical images is an important task; however, automatic image-based registration is computationally expensive. Given this task, the authors propose an efficient rigid registration method, which is based on mutual information and uses a graphics processing unit (GPU). Mutual-information-based registration methods require joint-histogram computation. Although a GPU can provide high performance computing, a joint histogram has a large number of bins, and the computation of such a histogram is not suitable for a GPU (whose shared memory is limited). Taking advantage of the fact that one image (the reference image) is not transformed during the registration process, the proposed method computes a joint histogram by computing multiple onedimensional histograms and combining them. The method can therefore be efficiently implemented on a GPU even with limited shared memory. Experimental results for 256 × 256 × 256 image registration show that the method is about 140 times faster than a standard implementation on a CPU and 2.6 times faster than previous methods using GPUs.

Paper Details

Date Published: 11 March 2011
PDF: 9 pages
Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 796222 (11 March 2011); doi: 10.1117/12.877215
Show Author Affiliations
Tsuneya Kurihara, Hitachi, Ltd. (Japan)
Kazuki Matsuzaki, Hitachi, Ltd. (Japan)
Kumiko Seto, Hitachi, Ltd. (Japan)
Yoshihiko Nagamine, Hitachi, Ltd. (Japan)

Published in SPIE Proceedings Vol. 7962:
Medical Imaging 2011: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

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