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Abstract #1929

Automatic tract segmentation in the older brain

Susana Muñoz Maniega1, Jonathan D Clayden2, Maria Valdés Hernandez1, Mark E Bastin1, Ian J Deary3, and Joanna M Wardlaw1
1Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom, 2UCL GOS Institute of Child Health, University College London, London, United Kingdom, 3Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom

TractSeg automatically produces fast and accurate tract segmentations in young populations, but its robustness to changes in the brain due to aging has not been tested. We run TractSeg in data from an older cohort (age 82). We visually assessed the tract segmentations and compared diffusion parameters with a method previously tested in older brains (PNT). TractSeg produced reasonable tract segmentations. The agreement with PNT was poor but measurements were highly correlated. Visual assessments and estimated overlap between segmented bundles suggest potential over-segmentation and subsequent loss of specificity of tract diffusion parameters. Optimised training data could improve TractSeg’s results.

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