Share Email Print
cover

Proceedings Paper

Efficient registration method of medical images using GPU
Author(s): Tsuneya Kurihara; Kazuki Matsuzaki; Kumiko Seto; Yoshihiko Nagamine
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

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)

© SPIE. Terms of Use
Back to Top