Title :
Brain image segmentation for virtual endoscopy
Author :
Szilágyi, L. ; Benyó, Z. ; Szilágyi, S.M.
Author_Institution :
Dept. of Control Eng. & Inf. Technol., Budapest Univ. of Technol. & Econ., Hungary
Abstract :
This work presents an 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 γ, the amount of required calculations is considerably reduced. The algorithm provides good-quality segmented 2-D brain slices a very quick way, which makes it an excellent tool to support a virtual brain endoscope.
Keywords :
biomedical MRI; brain; endoscopes; fuzzy set theory; image segmentation; medical image processing; MR brain images; bias-corrected fuzzy c-means algorithm; brain image segmentation; virtual endoscopy; Biomedical imaging; Brain; Endoscopes; Filtering; Image processing; Image quality; Image reconstruction; Image segmentation; Labeling; Prototypes; fuzzy logic; image segmentation; medical imaging; virtual endoscope;
Conference_Titel :
Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-8439-3
DOI :
10.1109/IEMBS.2004.1403519
