Abstract #1802
A PDE approach for automatic thickness estimation using partial volume classification
Easswar Balasubramaniam 1 , Anand Joshi 1 , David Shattuck 2 , and Richard Leahy 1
1
Electrical Engineering, University of
Southern California, Los Angeles, CA, United States,
2
Neurology,
University of California, Los Angeles, CA, United States
We present a new method for estimating the cortical
thickness of the human brain from MR images. Our
approach uses an anisotropic heat equation that takes
into account the partial volume classification of GM, WM
and CSF tissue types. We compare our method with
conventional methods that use linked distance and the
heat equation.
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