Abstract #4509
Model-based neuroanatomy: Tractography validation, white-matter connections and geometrical organization
Franco Pestilli 1 , Justin Solomon 2 , Adrian Butscher 3 , and Brian Wandell 1
1
Psychology, Stanford University, Stanford,
CA, United States,
2
Computer
Science, Stanford University, Stanford, CA, United
States,
3
Max
Planck Institute for Informatics, Saarbruecken, Germany,
Germany
We present a method for validating the organization of
the white-matter tracts generated using diffusion
weighted MRI and fiber tractography. Unlike previous
techniques, our method locally determines the quality of
each fascicle by associating nodes on each fascicle with
nonnegative weights. These weights are optimized to
predict the diffusion signal while also exhibiting
smoothness along the fiber path. We find that different
tractography algorithms generate different white-matter
geometries. After cross-validation using our localized
fascicle weights, however, we can describe the geometry
of fascicles in white matter with confidence that our
result is not a by-product of the choice of tractography
techniques.
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