A discriminative feature selection approach for shape analysis: application to fetal brain cortical folding study
Résumé
The development of post-processing reconstruction techniques has opened new possibilities for the study of in utero fetal brain MRI data. Recent cortical surface analysis have led to the computation of quantitative maps characterizing brain folding of the developing brain. In this paper, we describe a novel feature selection-based approach that can be used for studying the most discriminative brain folding patterns using in utero reconstructed fetal MR data. Results show that this temporal process related to brain maturation can be characterized by a small set of points, located in the main sulci.
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