Model parameter estimation and tissue mixture segmentation by a MAP-EM algorithm

IEEE Nuclear Science Symposium Conference Record

Volumn 4, Issue , 2007, Pages 3126-3132

  Liang, Zhengrong ^a,b   Wang, Su ^a   Lu, Hongye ^a   Wang, Jing ^a  

^a STONY BROOK UNIVERSITY   (United States)

^b IEEE

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC NOISE; COMPUTATIONAL METHODS; COMPUTER SIMULATION; CONFORMAL MAPPING; DIGITAL IMAGE STORAGE; ERROR ANALYSIS; ESTIMATION; FACILITIES; HIDDEN MARKOV MODELS; IMAGE PROCESSING; IMAGE SEGMENTATION; IMAGING TECHNIQUES; ITERATIVE METHODS; MAPS; MEDICAL IMAGING; MIXTURES; MODAL ANALYSIS; POISSON DISTRIBUTION; SENSITIVITY ANALYSIS; SIZE DISTRIBUTION; STRUCTURAL FRAMES; TISSUE;

A-PRIORI; CLINICAL APPLICATIONS; CLINICAL FEATURES; COMPUTER SIMULATIONS; E-M ALGORITHMS; EXPECTATION-MAXIMIZATION; FEATURE ANALYSIS; INITIAL ESTIMATES; MARKOV RANDOM FIELD; MAXIMUM A-POSTERIORI; MIXTURE ESTIMATION; MODEL PARAMETER ESTIMATION; MODEL PARAMETERS; NOISE LEVELS; NUCLEAR SCIENCES; PARTIAL VOLUME EFFECT; POISSON NOISE; PV EFFECTS; REGION -OF-INTEREST; SPATIAL DISTRIBUTION OF; SPATIAL DISTRIBUTIONS; VOLUMETRIC MEASUREMENTS;

PARAMETER ESTIMATION;

EID: 48149086074     PISSN: 10957863     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NSSMIC.2007.4436791     Document Type: Conference Paper

References (19)

1. L. Li, H. Lu, X. Li, W. Huang, A. Tudorica, C. Christodoulou, L. Krupp, and Z. Liang, "MRI volumetric analysis of multiple sclerosis: Methodology and validation", IEEE Transactions on Nuclear Science, vol. 50, no. 5, pp. 1686-1692, 2003.
2. Z. Liang, R. Jaszczak, and E. Coleman, "Parameter estimation of finite mixtures using the EM algorithm and information criteria with application to medical image processing", IEEE Transactions on Nuclear Science, vol. 39, no. 4, pp. 1126-1133, 1992.
3. S. Sanjay-Gopal and T. Hebert, "Bayesian pixel classification using spatially variant finite mixtures and the generalized EM algorithm", IEEE Transactions on Image Processing, vol. 7, no. 7, pp. 1014-1028, 1998.
4. Y. Zhang, M. Brady, and S. Smith, "Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm", IEEE Transactions on Medical Imaging, vol. 20, no. 1, pp. 45-57, 2001.
5. D. Pham and J. Prince, "Adaptive fuzzy segmentation of magnetic resonance images", IEEE Transactions on Medical Imaging, vol. 18, no. 9, pp. 737-752, 1999.
6. X. Li, L. Li, H. Lu, and Z. Liang, "A partial volume segmentation of brain magnetic resonance images based on maximum a posteriori probability", Medical Physics, vol. 32, no. 7, pp. 2337-2345, 2005.
7. H. Choi, D. Haynor, and Y. Kim, "Partial volume tissue classification of multi-channel magnetic resonance images - A mixel model", IEEE Transactions on Medical Imaging, vol. 10, no. 3, pp. 395-407, 1991.
8. P. Santago and H. Gage, "Quantification of MR brain images by mixture density and partial volume modeling", IEEE Transactions on Medical Imaging, vol. 12, no. 3, pp. 566-574, 1993.
9. P. Santago and H. Gage, "Statistical models of partial volume effect", IEEE Transactions on Image Processing, vol. 4, no. 11, pp. 1531-1539, 1995.
10. K. Blekas, A. Likas, N. Galatsanos, and I. Lagaris, "A spatially constrained mixture model for image segmentation", IEEE Transactions on Neural Networks, vol. 16, no. 4, pp. 494-498, 2005.
11. K. Leemput, F. Maes, D. Vandermeulen, and P. Suetens, "A unifying framework for partial volume segmentation of brain MR images", IEEE Transactions on Medical Imaging, vol. 22, no. 1, pp. 105-119, 2000.
12. Z. Liang, X. Li, D. Eremina, and L. Li, "An EM framework for segmentation of tissue mixtures from medical images", International Conference of IEEE Engineering in Medicine and Biology, Cancun, Mexico, pp. 682-685, 2003.
13. T. Lei and W. Sewchand, "Statistical approach to X-ray CT imaging and its applications in image analysis - Part I and II", IEEE Transactions on Medical Imaging, vol. 11, no. 1, pp. 53-69, 1992.
14. M. Fuderer, "The information content of MR images", IEEE Transactions on Medical Imaging, vol. 7, no. 4, pp. 368-380, 1988.
15. A. Macovski, "Noise in MRI", Magnetic Resonance in Medicine, vol. 36, no. 4, pp. 494-497, 1996.
16. X. Li, D. Eremina, L. Li, and Z. Liang, "Partial volume segmentation of medical images", Conference Record of IEEE Nuclear Science Society-Medical Imaging Conference, in CD-ROM, 2003.
17. A. Dempster, N. Laird, and D. Rubin, "Maximum likelihood from incomplete data via the EM algorithm", Journal of the Royal Statistics Society, vol. 39(B), pp. 1-38, 1977.
18. D. Eremina, X. Li, W. Zhu, J. Wang, and Z. Liang, "Investigation on an EM framework for partial volume image segmentation", Proceedings of SPIE Medical Imaging, vol. 6144, pp. D1-D9, 2006.
19. W. Press, S. Teukolsky, W. Vetterling, and B. Flannnery, "Numerical Recipes in C: The art of scientific computing". The Second Edition, Cambridge University Press, pp. 50-51, 1992.