11 March 2011 Efficient registration method of medical images using GPU
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Proceedings Volume 7962, Medical Imaging 2011: Image Processing; 796222 (2011) https://doi.org/10.1117/12.877215
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States
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.
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Tsuneya Kurihara, Tsuneya Kurihara, Kazuki Matsuzaki, Kazuki Matsuzaki, Kumiko Seto, Kumiko Seto, Yoshihiko Nagamine, Yoshihiko Nagamine, } "Efficient registration method of medical images using GPU", Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 796222 (11 March 2011); doi: 10.1117/12.877215; https://doi.org/10.1117/12.877215

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