Difference between revisions of "Projects:SulciOutlining"

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= Automatic Outlining of Sulci on a Brain Surface =
 
= Automatic Outlining of Sulci on a Brain Surface =

Revision as of 18:11, 17 July 2009

Home < Projects:SulciOutlining

Back to NA-MIC Collaborations, MGH Algorithms, Georgia Tech Algorithms

Automatic Outlining of Sulci on a Brain Surface

Description

We present a method to automatically extract certain key features on a surface. We apply this technique to outline sulci on the cortical surface of a brain, where the data is taken to be a 3D triangulated mesh formed from the segmentation of MR image slices. The problem is posed as energy minimization using penalizing the arc-length of segmenting curve using conformal factor involving the mean curvature of the underlying surface. The computation is made practical for dense meshes via the use of a sparse-field method to track the level set interfaces and regularized least-squares estimation of geometric quantities.


Key Investigators

  • Georgia Tech: Allen Tannenbaum
  • MGH: Peter Karasev