Extracting and Representing the Cortical Sulci

  • Authors:
  • Yong Zhou;Paul M. Thompson;Arthur W. Toga

  • Affiliations:
  • -;-;-

  • Venue:
  • IEEE Computer Graphics and Applications
  • Year:
  • 1999

Quantified Score

Hi-index 0.00

Visualization

Abstract

Current sulcal modeling techniques depend, more or less, on manual interpretation. We propose a robust voxel-coding methodology for automatic extraction and parameterization of the sulcal surfaces from volume data sets. The cortical sulci are generated in two steps: initial contour extraction and final contour generation. A voxel-coding technique based on the exterior boundary of the cerebral cortex extracts the initial contours. A similar voxel-coding technique generates the final contours. Results, and comparisons with manually derived surface models, demonstrate the potential of our methodology.