MR Brain Image Segmentation Using an Enhanced Fuzzy C-Means Algorithm

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn 1, Issue , 2003, Pages 724-726

  Szilagyi L ^a   Benyo Z ^a   Szilagyi S M ^b   Adam, H S ^a  

^a BUDAPEST UNIVERSITY OF TECHNOLOGY AND ECONOMICS   (Hungary)

^b SAPIENTIA HUNGARIAN UNIVERSITY OF TRANSYLVANIA   (Romania)

Author keywords

Fuzzy Logic; Image Segmentation; MR Imaging

Indexed keywords

ALGORITHMS; BRAIN; FUNCTIONS; FUZZY SETS; IMAGE SEGMENTATION; LAGRANGE MULTIPLIERS; MAGNETIC RESONANCE IMAGING; MATHEMATICAL MODELS; OPTIMIZATION;

BRAIN IMAGES; VOXELS;

MEDICAL IMAGING;

EID: 1542272476     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. J. C. Bezdek, S. K. Pal - Fuzzy Models for Pattern Recognition, Piscataway, NJ: IEEE Press, 1991.
2. M. N. Ahmed, S. M. Yamany, N. Mohamed, A. A. Farag, T. Moriarty - A Modified Fuzzy C-Means Algorithm for Bias Field Estimation and Segmentation of MRI Data, IEEE Transactions on Medical Imaging, Vol. 21, No. 3, 2002, pp. 193-199.
3. D. L. Pham and J. L. Prince - Adaptive fuzzy segmentation of magnetic resonance images, IEEE Transactions on Medical Imaging, Vol. 18, No. 9, 1999, pp. 737-752.
4. J. Bezdek, L. Hall, L. Clarke, Review of MR image segmentation using pattern recognition, Med. Phys., vol. 20, pp. 1033-1048, 1993.