25 September 1998 Automatic segmentation and classification of human brain image based on a fuzzy brain atlas
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Proceedings Volume 3545, International Symposium on Multispectral Image Processing (ISMIP'98); (1998) https://doi.org/10.1117/12.323580
Event: International Symposium on Multispectral Image Processing, 1998, Wuhan, China
Abstract
It is difficult to automatically segment and classify tomograph images of actual patient's brain. Therefore, many interactive operations are performed. It is very time consuming and its precision is much depended on the user. In this paper, we combine a brain atlas and 3D fuzzy image segmentation into the image matching. It can not only find out the precise boundary of anatomic structure but also save time of the interactive operation. At first, the anatomic information of atlas is mapped into tomograph images of actual brain with a two step image matching method. Then, based on the mapping result, a 3D fuzzy structure mask is calculated. With the fuzzy information of anatomic structure, a new method of fuzzy clustering based on genetic algorithm is used to segment and classify the real brain image. There is only a minimum requirement of interaction in the whole process, including removing the skull and selecting some intrinsic point pairs.
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Ou Tan, Ou Tan, Chunguang Jia, Chunguang Jia, Huilong Duan, Huilong Duan, Weixue Lu, Weixue Lu, } "Automatic segmentation and classification of human brain image based on a fuzzy brain atlas", Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); doi: 10.1117/12.323580; https://doi.org/10.1117/12.323580
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