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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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