Inproceedings: an article in a conference proceedings.
Brain Surface Segmentation of Magnetic Resonance Images of the Fetus
Title of the conference
EUSIPCO 2008, 16th European Signal Processing Conference
Lausanne, Switzerland, August 25-29, 2008
In this work we present a method for the image analysisof Magnetic Resonance Imaging (MRI) of fetuses. Our goalis to segment the brain surface from multiple volumes(axial, coronal and sagittal acquisitions) of a fetus. Tothis end we propose a two-step approach: first, a FiniteGaussian Mixture Model (FGMM) will segment the image into3 classes: brain, non-brain and mixture voxels. Second, aMarkov Random Field scheme will be applied tore-distribute mixture voxels into either brain ornon-brain tissue. Our main contributions are an adaptedenergy computation and an extended neighborhood frommultiple volumes in the MRF step. Preliminary results onfour fetuses of different gestational ages will be shown.
MRI, Segmentation, Markov Random Field,
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