Tissue Mixture Characterization In The Presence Of Mri Inhomogeneity By The Em Algorithm

Zhengrong Liang,Lihong Li,Daria Eremina,Hongbing Lu

2006 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-13（2006）

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摘要

This paper presents a model-based approach to correct for both partial volume effect and inhomogeneity in segmenting tissue mixtures inside each voxel of magnetic resonance images. A maximum a posteriori probability (MAP) solution is sought. In calculating the solution, the wellknown expectation maximization (EM) algorithm is employed. The models of data likelihood and Markov priors for tissue mixture and bias field in establishing this MAP-EM framework are described in details. A preliminary test is presented.

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关键词

expectation maximization,markov processes,random variables,expectation maximization algorithm,magnetic resonance imaging,biomedical engineering,image segmentation,magnetic resonance image,mathematics,magnetic resonance,physics,computer science,radiology,partial volume effect,em algorithm,map

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