Abstract #4516
Automated extraction of fiber bundles for population studies
Birkan Tunc 1 , William A. Parker 1 , and Ragini Verma 1
1
Department of Radiology, University of
Pennsylvania, Philadelphia, PA, United States
In this work, we design a framework for extraction of
fiber bundles by introducing a group-wise consistent
fiber clustering. This consists of defining a
connectivity based fiber representation, using this
representation to design a fiber atlas, and finally a
subsequent adaptive clustering of a new subject based on
this atlas. The connectivity based fiber representation
encodes information related to the connectivity
signatures of fibers. The fiber atlas is generated using
several representative scans. The fibers of a new
subject is clustered adaptively by incorporating this
atlas as a prior. This whole framework results in a
population consistent automated fiber clustering.
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