Segmentation of the cortex in fetal MRI using a topological model
Abstract
The study of in utero fetal MR images is essential for the diagnosis of abnormal brain development and the study of the maturation of the brain structures. However, few automated segmentation methods have been developed so far, compare to the numerous ones existing for the adult brain anatomy, which is due to the particular properties of these images. In this paper, we propose a two-step cortex segmentation technique including anatomical priors and a topological model. Experiments performed on in utero MR data and validation by comparison to experts segmentation emphasize the relevance of the method.
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