Abstract

Congenital hydrocephalus is a buildup of excess cerebrospinal fluid in the brain at birth. The micro-vascular specimens of these brains showed a deranged vascular pattern and poor vascular network in the brain mantle. As the first step of processing and analyzing the vascular network, we proposed a automatic computational approach to label all the vessel in the images. The method, based on advanced curvilinear structure detector, can extract the vessel skeletons and address the branching issue of the vascular network at the same time.

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