Finding 3D parametric representations of the deep cortical folds

Marc Vaillant, Christos Davatzikos, Nick R. Bryan

Research output: Contribution to conferencePaperpeer-review

Abstract

Parametric representations of anatomical structures provide useful mathematical descriptions for many medical imaging applications, including morphological analysis of the brain. In this paper, we develop a methodology for obtaining a parametric representation of the deep cortical folds of the brain utilizing characteristics of the cortical shape. We first find a mathematical representation of the outer cortical surface using a deformable surface algorithm. Using the principal curvatures of the resulting surface, we then identify the edges on the sulci on it, and we initialize active contours along them. An external force field guides an active contour to the deep edge of a sulcus, along the medial surface of a cortical fold. A parametric description of a sulcal surface is obtained as the active contour traverses the sulcus, sweeping a surface resembling a convoluted ribbon embedded in 3D. In this paper we present results using magnetic resonance images.

Original languageEnglish (US)
Pages151-159
Number of pages9
DOIs
StatePublished - Jan 1 1996
EventProceedings of the 1996 Workshop on Mathematical Methods in Biomedical Image Analysis - San Francisco, CA, USA
Duration: Jun 21 1996Jun 22 1996

Other

OtherProceedings of the 1996 Workshop on Mathematical Methods in Biomedical Image Analysis
CitySan Francisco, CA, USA
Period6/21/966/22/96

ASJC Scopus subject areas

  • Engineering(all)

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