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Abstract #2140

A Comparison of Two Automated and Probabilistic Tract Segmentation Methods

Jonathan D. Clayden1, Susana Munoz Maniega2, Mark E. Bastin3, Christopher A. Clark1

1Institute of Child Health, University College London, London, United Kingdom; 2Division of Clinical Neurosciences, University of Edinburgh, Edinburgh, United Kingdom; 3Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom


In this work, we compare two freely available, probabilistic and automated methods for segmenting white matter tracts from diffusion MRI data.

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