Rowe, MC; Zhang, H; Alexander, DC; (2012) Utilising measures of fiber dispersion in white matter tractography. In: Proceedings of the MICCAI 2012 Workshop for Computational Diffusion MRI. (pp. 2 - 12). UCL (University College London): London, UK.

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Abstract

This paper proposes a new tractography algorithm utilising measures of fiber dispersion derived from diffusion weighted magnetic resonance (DW-MR) imaging. Tractography estimates connectivity by integrating a pathway from a seed point following directional information derived from DW-MR images. Current tractography techniques follow a discrete set of directions given in each voxel of a DW-MR image and probabilistic techniques account for noise induced uncertainty on those discrete directions. Histological evidence suggests that fiber orientation dispersion exists in areas of white matter such as the centrum semiovale, representing a continuum of potential fiber orientations which cannot be accurately summarised by a limited set of discrete directions. Recent studies have shown that measures of fiber dispersion in brain white matter can be directly measured from DW-MR imaging data and explicitly represented in the orientation distribution function (ODF) of a voxel, but such measures have yet to be used in guiding tractography algorithms. We present a tracking algorithm which makes use of ODFs which account for underlying fiber dispersion to trace potential fiber pathways, we compare this method with traditional tracking methods on simulated data and in vivo human data, showing that measures of fiber dispersion can aid tractography in finding connectivity commonly missed by current tractography methods.

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