Segmentation of Newborn Brain MRI

N. I. Weisenfeld, Andrea U. J. Mewes, Simon Keith Warfield · 2006

Segmenting neonatal brain images is challenging due to reduced MR signal-intensity contrast between tissues of interest compared to older subjects. In this paper we discuss a new strategy that we are currently employing in our neonatal brain studies and present the segmentation problem within a Bayesian framework. We show results validating this method and a previously published method from our group against a group of manually drawn segmentations. We achieve good to excellent results, on particularly challenging data, with greater speed and ease of use

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