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.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Click here for more information on becoming a member.
