Abstract #4501
DTI fibre tracking: beyond the main eigenvector
Ivan I. Maximov 1 , Anton Minnekhanov 1,2 , Ezequiel Farrher 1 , Farida Grinberg 1 , and N. Jon Shah 1,3
1
INM-4, Forschungszentrum Juelich, Juelich,
Germany,
2
Department
of Physics, Moscow State University, Moscow, Russian
Federation,
3
Department
of Neurology, RWTH Aachen University, Aachen, Germany
Diffusion tensor imaging is a well-known and
well-established imaging technique. It allows one to
easily visualize the neuronal tissue architecture by
using the eigenvector linked to the largest eigenvalue
of the diffusion tensor. However, the diffusion tensor
eigenvectors form a complete orthonormal basis in space
and contain additional information. We hypothesize here
that all three eigenvectors in the neuronal bundles can
generate a structure similar to a crystal lattice and
keep this configuration along the bundle with high
anisotropy. Thus, vector fields based on secondary
and/or tertiary eigenvectors could improve the
segmentation/reconstruction of fibre tracts and provide
additional information on white matter organisation.
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