Meeting Banner
Abstract #1406

Comparison of segmentation techniques to measure tissue-specific atrophy in Multiple Sclerosis

Patricia Alves Da Mota 1 , Ferran Prados 2 , Wallace J Brownlee 1 , Manuel Jorge Cardoso 2 , Matteo Pardini 1 , Nicolas Toussaint 2 , Declan T Chard 1 , Sbastien Ourselin 2 , David H Miller 1 , and Claudia AM Wheeler-Kingshott 1

1 NMR Research Unit, Department of Neuroinflammation, Queen Square MS Centre, UCL Institute of Neurology, London, England, United Kingdom, 2 Department of Medical Physics and Bioengineering Wolfson House, Translational Imaging Group CMIC, London, England, United Kingdom

Brain atrophy is a well established pathologically feature of multiple sclerosis (MS). Here we compare GIF, a novel segmentation technique which has not been previously applied in people with MS, to SPM12 results. Acknowledging the small number of subjects, statistical measures and qualitative assessment showed that GIF provides a relatively significant improvement in segmentation accuracy when compared to SPM12, with an improved agreement between observers (r=0.740 VS r=0.203). GIF was also found to be more robust (i.e. lower standard deviations) at estimating brain atrophy (i.e. volume fractions) on both HC and MS subjects.

This abstract and the presentation materials are available to members only; a login is required.

Join Here