Improved White Matter Tract Segmentation Reproducibility Using Global Diffusion Tensor Neighborhood Tractography

Paul Armitage¹, Susana Muoz Maniega², James Bridson², Michael Poon², Mark Bastin²

Neighborhood tractography was implemented using a fast marching algorithm to provide automated extraction of white matter fibers of interest. Inter- and intra-subject reproducibility of resulting tract volume, <D> and FA measurements from segmented white matter fibres were obtained on a series of normal healthy subjects. Variability of the automated method was found to be comparable to previous studies, including those using manual methods, and 83% of fibres were considered to provide acceptable representations of the tract of interest.