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Deterministic White Matter Tractography 

Deterministic White Matter Tractography
Deterministic White Matter Tractography

Andrew L. Alexander

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date: 27 January 2020

The directional anisotropic information of the diffusion tensor provides a unique opportunity for estimating and modeling the trajectories of white matter tracts in the human brain noninvasively. Algorithms for mapping these connection patterns are referred to as white matter tractography. Deterministic tractography methods are primarily based upon streamline algorithms where the local tract direction is defined by the major eigenvector of the diffusion tensor. These approaches have been used to map out white matter anatomical connections in the human brain. The accuracy and variance of the tract reconstruction is a function of the algorithm, the signal-to-noise ratio, the diffusion tensor eigenvalues, and the tract length. Crossing white matter tracts create significant challenges for the tract reconstruction. Despite these limitations, white matter tractography has been applied to the visualization of white matter tracts, presurgical mapping, brain segmentation problems, and the study of brain connectivity.

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