DocumentCode
2168729
Title
A modified fuzzy c-means algorithm for segmentation of MRI
Author
Zhao, Yongqiang ; Li, Minglu
Author_Institution
Dept. of Comput. Sci. & Eng., Shanghai Jiao Tong Univ., China
fYear
2003
fDate
27-30 Sept. 2003
Firstpage
391
Lastpage
395
Abstract
In this paper, we present a novel algorithm for fuzzy segmentation of the osteosarcoma magnetic resonance imaging (MRI) data and estimation of intensity inhomogeneties. The algorithm is formulated by modifying the objective function in the fuzzy c-means (FCM) algorithm to compensate for such inhomogeneities. Our experiments demonstrate the effectiveness of the method.
Keywords
algorithm theory; fuzzy logic; image restoration; image segmentation; magnetic resonance imaging; FCM; fuzzy segmentation; image segmentation; intensity inhomogeneties; magnetic resonance imaging; modified fuzzy c-means algorithm; osteosarcoma MRI; Clustering algorithms; Computational intelligence; Current measurement; Image segmentation; Iterative algorithms; Iterative methods; Magnetic resonance imaging; Partitioning algorithms; Research and development; Sections;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Multimedia Applications, 2003. ICCIMA 2003. Proceedings. Fifth International Conference on
Print_ISBN
0-7695-1957-1
Type
conf
DOI
10.1109/ICCIMA.2003.1238157
Filename
1238157
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