DocumentCode
429304
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
Volume
1
fYear
2004
fDate
1-5 Sept. 2004
Firstpage
1730
Lastpage
1732
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/IEMBS.2004.1403519
Filename
1403519
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