Gain field correction fast fuzzy c-means algorithm for segmenting magnetic resonance images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4099 LNAI, Issue , 2006, Pages 1242-1247

  Song, Jingjing ^a   Zhao, Qingjie ^a   Wang, Yuanquan ^a   Tian, Jie ^b  

^a BEIJING INSTITUTE OF TECHNOLOGY   (China)

^b INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; FUZZY SETS; ITERATIVE METHODS; LOW PASS FILTERS; MAGNETIC RESONANCE;

FUZZY SEGMENTATION; GAIN FIELD IMAGES; INTENSITY INHOMOGENEITY; MAGNETIC RESONANCE IMAGES;

IMAGE SEGMENTATION;

EID: 33749553134     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11801603_169     Document Type: Conference Paper

References (11)

1. Mohamed N. Ahmed, Sameh M. Yamany et al: A Modified Fuzzy C-Means Algorithm For Bias Field Estimation and Segmentation of MRI Data. IEEE Transactions on Medical Imaging. 21 (3) (2002) 193-199.
2. Renjie He, Sushmita Datta et al: Adaptive FCM with contextual constrains for segmentation of multi-spectral MRI. Proceeding of the 26th Annual International Conference of the IEEE EMBS. 1 (2004) 1660-1663.
3. L. Sziágyi, Z, Benyó, S. M. Szilágyi: Brain Image Segmentation for Virtual Endoscopy. Proceedings of the 26th Annual International Conference of the IEEE EMBS. 1 (2004) 1730-1732.
4. Weijie Chen, Maryellen L. Giger: A fuzzy c-means (FCM) based algorithm for intenity inhomogeneity correction and segmentation of MR images. IEEE International Symposium on Biomedical Imaging. (2004) 1307-1310.
5. Yonggiang Zhao, Minglu Li: A modified fuzzy c-means algorithm for segmentation of MRI. Fifth International Conference on Computational Intelligence and Multimedia Application. (2003) 391 - 395.
6. Dzung L. Pham, Jerry L. Prince: Adaptive Fuzzy Segmentation of Magnetic Resonance Images. IEEE Transaction on Medical Imaging. 18 (3) (1999) 737-752.
7. Lei Jiang, 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 Adriaansen T. (Eds.). (2003) 225-231.
8. K. Van Leemput, F. Maes et al: Automated Model-Based Bias Field Correction of MR Images of the Brain. IEEE Transactions on Medical Imaging. 18(10) (1999) 885-896.
9. John G. Sled, Alex P. Zijdenbos et al; A Nonparametric Method for Automatic Correction of Intensity Nonuniformity in MRI Data. IEEE Transactions on Medical Imaging. 17 (1) (1998) 87-97.
10. Dzung L. Pham, Jerry L. Prince: An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities. Pattern Recognition Letters. 20, (1999) 57-68.
11. J. C. Bezdek, L. O. Hall, L. P. Clarke: Review of MR Image Segmentation Techniques Using Pattern Recognition. Med. Phys. 20 (1993) 1033-1048.