Adaptive FCM with contextual constrains for segmentation of multi-spectral MRI

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

Volumn 26 III, Issue , 2004, Pages 1660-1663

  He, Renjie ^a   Datta, Sushmita ^a   Sajja, Balasrinivasa Rao ^a   Mehta, Meghana ^a   Narayana, Ponnada A ^a  

^a UNIVERSITY OF TEXAS MEDICAL SCHOOL   (United States)

Author keywords

Adaptive; Bias field; Contextual Constraints; FCM; MRI; Multi spectral; Segmentation

Indexed keywords

BIAS FIELD; CONTEXTUAL CONSTRAINTS; FCM; MULTI-SPECTRAL;

ADAPTIVE CONTROL SYSTEMS; ALGORITHMS; CONSTRAINT THEORY; MAGNETIC RESONANCE IMAGING; POLYNOMIALS;

IMAGE SEGMENTATION;

EID: 11144283666     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Matthew C. Clark, Lowrence O. Hall, Dmitry B. Goldgof, Lourence O. Clarke, Robert P. Velthuizen, and Martin S. Silbiger, MRI Segmentation using Fuzzy Clustering Techniques. IEEE Engineering in Medicine and Biology. Nov/Dec 1994.
2. Dzung L. Pham and Jerry L. Prince, Adaptive Fuzzy Segmentation of Magnetic Resonance Imaging. IEEE Transactions on Medical Imaging, Vol 18, No 9, September 1999.
3. Mohamed N. Ahmed, Sameh M. Yamany, Nevin Mohamed, Aly A. Farag, and Thomas 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, March 2002.
4. Alan Wee-Chung Liew and Hong Yan, An Adaptive Spatial Fuzzy Clustering Algorithm for 3-D MR Image Segmentation. IEEE Transactions on Medical Imaging, Vol. 22, No. 9, September 2003.
5. Dzung L. Pham, Spatial Models for Fuzzy Clustering. Computer Vision and Image Understanding 84, 285-297 (2001).
6. Lei Jiang and Wenhui Yang, A Modified Fuzzy C-Means Algorithm for Segmentation of Magnetic Resonance Images. Proc. VIIth Digital Image Computing: Techniques and Applications, Sun C., Talbot H., Ourselin S. and Adriaasen T. (Eds), 10-12 Dec. 2003, Sydney.
7. Chaozhe Zhu and Tianzi Jiang, Multicontext fuzzy clustering for separation of brain tissues in magnetic resonance images. NeuroImage 18, 685-696, 2003.
8. John G. Sled, Alex P. Zijdenbos, and Alan C. Evans, A Nonparametric Method for Automatic Correction of Intensity Nonuniformity in MRI Data. IEEE Transactions on Medical Imaging, Vol. 17, No. 1, February 1998.
9. Benoit M. Dawant, Alex P. Zijdenbos, and Richard A. Margolin, Correction of Intensity variations in MR Images for Computer-Aided Tissue Classification. IEEE Transactions on Medical Imaging, Vol. 12, No. 4, December 1993.
10. M. Tincher, C. R. Meyer, R. Gupta, and D. M. Williams, Polynomial Modeling and Reduction of RF Body Coil Spatial Inhomogeneity in MRI. IEEE Transactions on Medical Imaging, Vol. 12, No. 2, June 1993.
11. Keon Van Leemput, Frederik Meas, Drik Vandermeulen, and Paul Suetens, Automated Model-Based bias Field Correction of MR Images of the Brain. IEEE Transactions on Medical Imaging, Vol. 18, No.10, October 1999.
12. B. J. Bedell, P. A. Narayana, and J. S. Wolinsky, "A Dual Approach for Minimizing False Lesion Classifications on Magnetic Resonance Images," MRM 37:94-102, 1997.
13. Y. Zhang, M. Brady, and S. Smith, "Segmentation of brain MR images through a Hidden Markov Random Field Model and the Expectation-Maximization," IEEE Trans. Med. Imag., vol. 20, no. 1, pp. 45-57, Jan. 2001.