Inproceedings: an article in a conference proceedings.
Brain tissue segmentation of fetal MR images
Title of the conference
MICCAI 2009, 12th International Conference on Medical Image Computing and Computer Assisted Intervention
London, United-Kingdom, September 20-24, 2009
We present a segmentation method for fetal brain tissuesof T2w MR images, based on the well known ExpectationMaximization Markov Random Field (EM- MRF) scheme. Ourmain contribution is an intensity model composed of 7Gaussian distribution designed to deal with the largeintensity variability of fetal brain tissues. The secondmain contribution is a 3-steps MRF model that introducesboth local spatial and anatomical priors given by acortical distance map. Preliminary results on 4 subjectsare presented and evaluated in comparison to manualsegmentations showing that our methodology cansuccessfully be applied to such data, dealing with largeintensity variability within brain tissues and partialvolume (PV).
Fetal Magnetic Resonance Imaging, Brain tissue segmentation, Statistical classification, CIBM-SPC
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