Adaptive fuzzy segmentation of 3D MR brain images

A.W.-C. Liew, Hong Yan
The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.  
Absrrod-A fuzzy c-means based adaptive clustering algorithm is proposed for the furzy segmentation of 3D M R brain images, which are typically corrupted by noise and intensity non-uniformity (INU) artifact. The proposed algorithm enforces the spatial continuity constraint to account for the spatial correlations between image voxels, resulting in the suppression of noise and classification ambiguity. The INU artifact is compensated for by the introduction of a pseudo-3D bias field, which is
more » ... ed as a stack of smooth B-spline surfaces with continuity enforced across slices. The efficacy of the proposed algorithm is demonstrated experimentally using both simulated and real M R images.
doi:10.1109/fuzz.2003.1206564 dblp:conf/fuzzIEEE/LiewY03 fatcat:uv5cloaonrc2pkij3u3mxw2gzy