Medical Image Fusion using Ridgelet Transform

Zhang-Shu Xiao,Chong-Xun Zheng,Oleg Michailovich,Yogesh Rathi,Jianwei Ma,Gerlind Plonka, V. R. Ratnaparkhe, R. R. Manthalkar, Y. V. Joshi, Bo Zhang,Jalal M. Fadili,Xinman Zhang,Jiuqiang Han, Rengfei Liu, Tao Chen,Junping Zhang,Ye Zhang,Lorenzo Granai, Fulvio Moschetti,Pierre Vandergheynst,Minh N. Do,Martin Vetterli

semanticscholar（2019）

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摘要

Image fusion is one of the most modern, accurate and useful diagnostic techniques in medical imaging today. The Fusion of Computed Tomography (CT) image and Magnetic Resonance (MR) image forms a new image with improved information content for diagnosis. The fused image can significantly benefit medical diagnosis and also the further image processing in computer aided diagnosis. The maximum frequency fusion rule is used for fusing the

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