A unified approach for lesion segmentation on MRI of multiple sclerosis

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

Volumn 26 III, Issue , 2004, Pages 1778-1781

  Sajja, B R ^a   Datta, S ^a   He, R ^a   Narayana, P A ^a  

^a UNIVERSITY OF TEXAS   (United States)

Author keywords

Feature classification; Morphological operators; MRI; Multiple sclerosis; Segmentation

Indexed keywords

ACOUSTIC NOISE; ALGORITHMS; IMAGE PROCESSING; MAGNETIC RESONANCE IMAGING; MORPHOLOGY; PROBLEM SOLVING;

FEATURE CLASSIFICATION; MORPHOLOGICAL OPERATORS; MULTIPLE SCLEROSIS;

IMAGE SEGMENTATION;

EID: 11144298719     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. P. A. Narayana and A. Borthakur, "Effect of radio frequency inhomogeneity correction on the reproducibility of intracranial volumes using MR image data," Magn. Reson. Med., vol. 33, pp. 396-400, 1995.
2. J. Ashburner and K. Fristen, "MRI sensitivity correction and tissue classification," Neurolmage, 7: S706, 1998.
3. W. M. Wells, III, and W. E. L. Crimson, "Adaptive segmentation of MRI data," IEEE Trans. Med. Imag., vol. 15, no. 4, pp. 429-442, Aug. 1996.
4. 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.
5. K. V. Leemput, F. Macs, D. Vandermeulen, A. Colchester, and P. Suetens, "Automated segmentation of Multiple Sclerosis lesions by model outlier detection," IEEE Trans. Med. Imag., vol. 20, no. 8, pp. 677-688, Aug. 2001.
6. R. P. Woods, S. T. Grafton, C. J. Holmes, S. R. Cherry, and J. C. Mazziotta, "Auotomated image registration: I General methods and intrasubject, intra modality validation," J. Comput. Assist. Tomgr., vol. 22, pp. 139-152, 1998.
7. P. Perona and J. Malik, "Scale-space and edge detection using anisotropic diffusion," IEEE Trans. Pattern Anal. Mach. Intell., vol. 12, pp. 629-639, 1990.
8. L. G. Nyul, J. K. Udupa, and X. Zhang, "New variants of a method of MRI scale standardization," IEEE Trans. Med. Imag., vol. 19, no. 2, pp. 143-150, Feb. 2000.
9. R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification. John Wiley and Sons, New York, 2001.
10. K. Krishnan and M. S. Atkins, "Segmentation of Multiple Sclerosis lesions in MRI - an image analysis approach," Proc. of SPIE International Symposium on Medical Imaging, vol. 3338, pp. 1106-1116, Feb. 1998.
11. J. K. Udupa, L. Wei, S. Samarasekera, M. A. van Buchem, and R. I. Grossman, "Multiple Sclerosis lesion quantitation using fuzzy-connectedness principles," IEEE Trans. Med. Imag., vol. 16, no. 5, pp. 598-609, Oct. 1997.