DocumentCode :
2284851
Title :
Brain MR image segmentation with fuzzy C-means and using additional shape elements
Author :
Özyurt, Onur ; Dinçer, Alp ; Öztürk, Cengizhan
Author_Institution :
Biyomed. Muhendisligi Enstitusu, Bogazici Univ., Istanbul, Turkey
fYear :
2009
fDate :
20-22 May 2009
Firstpage :
1
Lastpage :
4
Abstract :
Using the intensity of the element in interest, standard FCM generates the membership values to all classes. When used for segmentation of images, this method is not capable of correcting the effects of noise. To overcome that problem, we propose a modification on the standard method. The voxels in the neighborhood are taken into account, forming the shape elements in addition to the intensity of the voxel in interest. The resulting input vector is used with FCM. The proposed method was tested with MR brain image with and without added synthetic noise.
Keywords :
biomedical MRI; brain; fuzzy logic; image segmentation; medical image processing; neurophysiology; brain MR image segmentation; fuzzy C-means; magnetic resonance imaging; shape element; standard FCM generation; voxel intensity; Brain; Image segmentation; Noise shaping; Principal component analysis; Shape; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering Meeting, 2009. BIYOMUT 2009. 14th National
Conference_Location :
Balcova, Izmir
Print_ISBN :
978-1-4244-3605-7
Electronic_ISBN :
978-1-4244-3606-4
Type :
conf
DOI :
10.1109/BIYOMUT.2009.5130271
Filename :
5130271
Link To Document :
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