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MR brain image segmentation using an enhanced fuzzy C-means algorithm

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4 Author(s)
Szilagyi, L. ; Dept. of Control Eng. & Inf. Technol., Budapest Tech. Univ., Hungary ; Benyo, Z. ; Szilagyi, S.M. ; Adam, H.S.

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.

Published in:

Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE  (Volume:1 )

Date of Conference:

17-21 Sept. 2003