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发表刊物：MEDICAL SCIENCE AND BIOLOGICAL ENGINEERING (MSBE2015)

关键字：Diffusion-tensor imaging, image registration, evaluation

摘要：Medical image registration is the key technique of multimodal medical image processing, because it directly influences the results of information fusion of multimodal signals. It is one of the most important technique in Diffusion-Tensor Imaging (DTI), since the tensor calculation depends on the registration of Diffusion-Weighted Imaging (DWI) of different gradient direction. Therefore, the evaluation of the registration performance is a very important step for evaluating the result of information fusion. But traditional subjective evaluation method varies from person to person, while some objective evaluation methods are related to different registration algorithm or software. To solve this problem, an automatic evaluation method of DWI registration is proposed in this paper. The evaluation criteria used in this method include entropy, contrast, and correlation calculated by gray level co-occurrence matrix of Fractional Anisotropy (FA) image. Two registration results obtained by rigid and affine methods, and non-registered data are used in our testing experiment. The experiment results of 5 subjects data showed that the proposed evaluation method not only can integrate whole-brain information automatically, but also can reflect the performance of different registration methods accurately.

合写作者：Min Lu, Xiaojie Zhang, Changshui Zhang,Yifei Yang, Weibei Dou

第一作者：Yang Chen,Yanglei Song

论文类型：会议论文

通讯作者：Weibei Dou,Changshui Zhang

页面范围：282-288

是否译文：否

发表时间：2015-05-30