Detecting Cortical Surface Regions in Structural MR Data
Speaker: Biswajit Bose , CSAIL
Date: February 22 2008
Time: 1:00PM to 2:00PM
Location: 32-D507
Host: Polina Golland, CSAIL
Contact: Polina Golland, x38005, polina@csail.mit.edu
Relevant URL: We present a novel level-set method for evolving open surfaces
embedded in three-dimensional volumes. We adapt the method for
statistical detection and segmentation of cytoarchitectonic regions of
the cortical ribbon (e.g., Brodmann areas). In addition, we
incorporate an explicit interface appearance model which is oriented
normal to the open surface, allowing one to model characteristics
beyond voxel intensities and high gradients. We show that such models
are well suited to detecting embedded cortical structures. Appearance
models of the interface are used in two ways: firstly, to evolve an
open surface in the normal direction for the purpose of detecting the
location of the surface, and secondly, to evolve the boundary of the
surface in a direction tangential to the surface in order to delineate
the extent of a specific Brodmann area within the cortical ribbon. The
utility of the method is demonstrated on a challenging ex-vivo
structural MR dataset for detection of Brodmann area 17.
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