| Paper: | BIO-P3.9 | ||
| Session: | Biomedical Imaging | ||
| Time: | Thursday, May 18, 10:00 - 12:00 | ||
| Presentation: | Poster | ||
| Topic: | Bio Imaging and Signal Processing: Segmentation and analysis | ||
| Title: | TISSUE MIXTURE CHARACTERIZATION IN THE PRESENCE OF MRI INHOMOGENEITY BY THE EM ALGORITHM | ||
| Authors: | Zhengrong Liang, State University of New York, United States; Lihong Li, College of Staten Island of the City University of New York, United States; Daria Eremina, State University of New York, United States; Hongbing Lu, Fourth Military Medical University, China | ||
| Abstract: | 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 well-known expectation maximization (EM) algorithm is employed. The models in establishing this MAP-EM framework are described in details. | ||
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