Multiresolution automatic segmentation of T1-weighted brain MR images

2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano

Volumn 1, Issue , 2004, Pages 165-168

  Zeydabadi, Mahmood ^a   Zoroofi, Reza A ^a   Soltanian Zadeh, Hamid ^a,b  

^a UNIVERSITY OF TEHRAN   (Iran)

^b HENRY FORD HEALTH SYSTEM   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; GAUSSIAN NOISE (ELECTRONIC); IMAGE SEGMENTATION; MATHEMATICAL MODELS; SET THEORY; SURGERY;

AUTOMATIC SEGMENTATION; MIXTURE MODEL; MR IMAGES; PIXEL INTENSITY;

MAGNETIC RESONANCE IMAGING;

EID: 17144370998     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. D.L. Pham, C. Xu, J.L. Prince, "A Survey of Current Methods in Medical Image Segmentation," Technical report, Johns Hopkins University, Baltimore, January 1998.
2. Z.P. Liang, P.C. Lauterbur, Principles of Magnetic Resonance Imaging, A Signal Processing Perspective, IEEE Press, New York, 2000.
3. T.K. Moon, "The Expectation Maximization Algorithm," IEEE Signal Processing Magazine, pp. 47-60, November 1996.
4. J.D. Lee, M. Liou, P.E. Cheng, C.C. Chen, 'Partition MR Images by Extended EM Segmentation," Proceedings ICONIP, vol. 1, pp. 430-435, 2001.
5. C. Ambroise, G. Govaert, "Spatial Clustering and the EM Algorithm," Conference Proceedings of International Workshop on Mixtures, France, pp. 17-2, 1995.
6. http://www.bic.mni.mcgill.ca/brainweb/
7. http://www.cma.mgh.harvard.edu/ibsr