Virtual Chinese Human(Male No.1) Multimodality Image Registration
Qian Liu · Zhongguo yixue wulixue zazhi · 2007
Objective: To solve the multimodality image registration methods of three images data(CT,MRI and color slice image) of Virtual Chinese Human(VCH).Materials and Methods: According to the features of these three images,CT image was chosen as the reference image,when MRI images were registed,the best match parameter was searched by discriminating the largest mutual information between the two kinds of images gradient;while at the image registration of color slice image,the best match parameter was obtained by image segmentation.In the end,images were transformed on the basis of the best match parameters.Results: Three images of different modality data were registed,and compared with high-quality manual segmentation image datasets,registration accurate rate is 95.8%.Conclusions: Multimodality image registration of three images can be accomplished exactly using this methods,it provides reference for multimodality image registration of digital human.