Title :
MR brain image segmentation using an enhanced fuzzy C-means algorithm
Author :
Szilagyi, L. ; Benyó, Z. ; Szilagyi, Sandor M. ; Adam, H.S.
Author_Institution :
Dept. of Control Eng. & Inf. Technol., Budapest Tech. Univ., Hungary
Abstract :
This paper presents a new algorithm for fuzzy segmentation of MR brain images. Starting from the standard FCM and its bias-corrected version BCFCM algorithm, by splitting up the two major steps of the latter, and by introducing a new factor, the amount of required calculations is considerably reduced. The algorithm provides good-quality segmented brain images a very quick way, which makes it an excellent tool to support virtual brain endoscopy.
Keywords :
biomedical MRI; brain; fuzzy logic; image segmentation; medical image processing; BCFCM algorithm; FCM algorithm; MR brain image segmentation; bias-corrected version FCM; enhanced fuzzy C-means algorithm; Biomedical equipment; Brain; Clustering algorithms; Filtering; Image segmentation; Labeling; Lagrangian functions; Magnetic resonance imaging; Medical services; Prototypes;
Conference_Titel :
Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
Print_ISBN :
0-7803-7789-3
DOI :
10.1109/IEMBS.2003.1279866
