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《Journal of Biomedical Engineering》 2014-02
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Research on Fast Implementation Method of Image Gaussian RBF Interpolation Based on CUDA

CHEN Hao;CHEN Zhaoxue;YU Haizhong;School of Medical Instrument & Food Engineering,University of Shanghai for Science and Technology;  
Image interpolation is often required during medical image processing and analysis.Although interpolation method based on Gaussian radial basis function(GRBF)has high precision,the long calculation time still limits its application in field of image interpolation.To overcome this problem,a method of two-dimensional and three-dimensional medical image GRBF interpolation based on computing unified device architecture(CUDA)is proposed in this paper.According to single instruction multiple threads(SIMT)executive model of CUDA,various optimizing measures such as coalesced access and shared memory are adopted in this study.To eliminate the edge distortion of image interpolation,natural suture algorithm is utilized in overlapping regions while adopting data space strategy of separating 2Dimages into blocks or dividing 3Dimages into sub-volumes.Keeping a high interpolation precision,the 2D and 3Dmedical image GRBF interpolation achieved great acceleration in each basic computing step.The experiments showed that the operative efficiency of image GRBF interpolation based on CUDA platform was obviously improved compared with CPU calculation.The present method is of a considerable reference value in the application field of image interpolation.
【Fund】: 上海市教委科研创新项目资助(11YZ116);; 上海理工大学校国家级项目与文科基地培育计划项目资助(12XGM04);; 上海市教委《PACS系统》重点课程建设项目资助
【CateGory Index】: TP391.41
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