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Tractography is typically performed for each subject using the diffusiontensor imaging (DTI) data in its native subject space rather than in some spacecommon to the entire study cohort. Despite performing tractography on apopulation average in a normalized space, the latter is considered lessfavorably at the \emph{individual} subject level because it requires spatialtransformations of DTI data that involve non-linear warping and reorientationof the tensors. Although the commonly used reorientation strategies such asfinite strain and preservation of principle direction are expected to result inadequate accuracy for voxel based analyses of DTI measures such as fractionalanisotropy (FA), mean diffusivity (MD), the reorientations are not always exactexcept in the case of rigid transformations. Small imperfections inreorientation at individual voxel level accumulate and could potentially affectthe tractography results adversely. This study aims to evaluate and comparedeterministic white matter fiber tracking in non-linearly warped DTI againstthat in native DTI. The data present promising evidence that tractography innon-linear warped DTI data could indeed be a viable and valid option forvarious statistical analysis of DTI data in a spatially normalized space.

Evaluating consistency of deterministic streamline tractography in non-linearly warped DTI data