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