PURPOSE Tractography algorithms ground on the Orientation Distribution Function 1 (ODF) estimation in each voxel, in order to locally extract the principal directions of diffusion. Although ODF peaks correspond to the white matter bundles main orientation, the peaks alone are not able to represent complex fiber patterns such as fanning. In this work, we propose a new method called MultiTensor Distribution Model (MTDM) which, starting from a single fiber response modeled as a diffusion tensor and an initial estimation of the principal diffusion direction, it is able to estimate the dispersion of the white matter bundles in each voxel.
Detection of fiber crossings and fannings using MultiTensor Distribution Model
Zucchelli, Mauro;Brusini, Lorenza;MENEGAZ, Gloria
2016-01-01
Abstract
PURPOSE Tractography algorithms ground on the Orientation Distribution Function 1 (ODF) estimation in each voxel, in order to locally extract the principal directions of diffusion. Although ODF peaks correspond to the white matter bundles main orientation, the peaks alone are not able to represent complex fiber patterns such as fanning. In this work, we propose a new method called MultiTensor Distribution Model (MTDM) which, starting from a single fiber response modeled as a diffusion tensor and an initial estimation of the principal diffusion direction, it is able to estimate the dispersion of the white matter bundles in each voxel.
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