An EM Framework for Segmentation of Tissue Mixtures from Medical Images

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

Volumn 1, Issue , 2003, Pages 682-685

  Liang, Zhengrong ^a,b   Li, Xiang ^a   Eremina, Daria ^b   Li, Lihong ^a  

^a STONY BROOK UNIVERSITY   (United States)

^b Stony Brook University   (United States)

Author keywords

EM algorithm; Image segmentation; Maximum a posteriori (MAP) probability; Tissue mixture

Indexed keywords

ALGORITHMS; COMPUTER AIDED DIAGNOSIS; COMPUTERIZED TOMOGRAPHY; IMAGE SEGMENTATION; LINEAR EQUATIONS; MAGNETIC RESONANCE IMAGING; MATHEMATICAL MODELS; OPTIMIZATION; PROBABILITY; TISSUE;

EM ALGORITHM; MAXIMUM A POSTERIORI (MAP) PROBABILITY; TISSUE MIXTURE;

MEDICAL IMAGING;

EID: 1542302599     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

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4. Z. Liang, J. MacFall, and D. Harrington, "Parameter Estimation and Tissue Segmentation from Multi-spectral MR Images," IEEE Trans. Med. Imaging, vol. 13, pp. 441-449, 1994.
5. 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 Trans. Nucl. Science, vol.39, pp. 1126-1133, 1992.