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  • Title: Automatic extraction of sulcal lines on the cortical surface using shortest path probability maps.
    Author: Le Troter A, Auzias G, Coulon O.
    Journal: Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():5165-8. PubMed ID: 22255502.
    Abstract:
    This paper describes an automatic procedure for extracting sulcal lines from cortical surface meshes of the human brain, which will serve as a tool for landmark extraction as well as for investigating the morphometry of sulci. The procedure consists in a sequence of steps, including sulcal basin segmentation based on local curvature information, estimating a bundle of depth-constrained geodesic paths and determining a robust probability map of sulcal lines crossing. In this experiment, we present quantitative validations on two main sulci to observe the agreement of our method with manually traced curves.
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