Hits:

Indexed by:期刊论文

Date of Publication:2009-10-01

Journal:Transactions of Tianjin University

Included Journals:EI、Scopus

Volume:15

Issue:5

Page Number:375-380

ISSN No.:10064982

Abstract:Mutual information (MI)-based image registration is effective in registering medical images, but it is computationally expensive. This paper accelerates MI-based image registration by dividing computation of mutual information into spatial transformation and histogram-based calculation, and performing 3D spatial transformation and trilinear interpolation on graphic processing unit (GPU). The 3D floating image is downloaded to GPU as flat 3D texture, and then fetched and interpolated for each new voxel location in fragment shader. The transformed results are rendered to textures by using frame buffer object (FBO) extension, and then read to the main memory used for the remaining computation on CPU. Experimental results show that GPU-accelerated method can achieve speedup about an order of magnitude with better registration result compared with the software implementation on a single-core CPU. © Tianjin University and Springer-Verlag 2009.