Multi-spectral MR image segmentation of brain.
- Author:
Fugen ZHOU
1
;
Wenyan LIU
;
Xiaokuan ZHOU
Author Information
1. Image Processing Center, Beihang University, Beijing 100083, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Brain;
anatomy & histology;
pathology;
Data Interpretation, Statistical;
Fuzzy Logic;
Humans;
Image Interpretation, Computer-Assisted;
methods;
Magnetic Resonance Imaging;
methods;
Pattern Recognition, Automated;
methods
- From:
Journal of Biomedical Engineering
2008;25(1):186-190
- CountryChina
- Language:Chinese
-
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.
