Meeting Banner
Abstract #1905

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

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

1University of Sheffield, Sheffield, South Yorkshire, United Kingdom; 2University of Edinburgh, Edinburgh, United Kingdom

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.