title: [Multi-spectral MR image segmentation of brain].
abstract: A novel multi-spectral MR image segmentation method based on multi-modality image fusion is presented in this paper. The basic idea of the method is that every single image is clustered using the FCM clustering method first, and then the final clustering results can be obtained by data fusion. The experimental results show that the presented method separates the white matter, gray matter and cerebro-spinal fluid (CSF) more accurately than does any single image segmentation method.
authors.affiliation: Image Processing Center, Beihang University, Beijing 100083, China.
authors.forename: Fugen
authors.initials: F
authors.lastname: Zhou
authors.forename: Wenyan
authors.initials: W
authors.lastname: Liu
authors.forename: Xiaokuan
authors.initials: X
authors.lastname: Zhou
mesh_terms: D000465:Algorithms; D001921:Brain / Q000033:anatomy & histology* / Q000473:pathology; D003627:Data Interpretation, Statistical; D017143:Fuzzy Logic; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods