Meeting Banner
Abstract #2222

For measuring hippocampal atrophy rates the boundary shift integral algorithm is substantially more accurate than FreeSurfer, manual, AdaBoost and FSL/First

Keith S Cover 1 , Ronald A van Schijndel 1 , Adriaan Versteeg 1 , Kelvin K Leung 2 , Emma R Mulder 1 , Remko A de Jong 1 , Peter J Visser 1 , Alberto Redolfi 3 , Jerome Revillard 4 , Baptiste Grenier 4 , David Manset 4 , Soheil Damangir 5 , Hugo Vrenken 1 , Bob W van Dijk 1 , Nick C Fox 2 , Giovanni Frisoni 3 , and Frederik Barkhof 1

1 VU University Medical Center, Amsterdam, North Holland, Netherlands, 2 University College London, London, United Kingdom, 3 IRCCS San Giovanni di Dio Fatebenefratelli, Italy, 4 MAAT, Archamps, France, 5 Karolinska Institutet, Sweden

To double check a recent reproducibility study that showed the boundary shift algorithm (BSI) is at least 70% more reproducible than the FreeSurfer/ReconAll, manual, AdaBoost and FSL/FIRST methods for measuring hippocampal atrophy rates. A novel statistical test of accuracy was employed based on the accepted hypothesis that, in older subjects, the hippocampus shrinks over time. The 4 other algorithms were found to require sample sizes at least 50% larger than BSI to reject the null hypothesis. The novel statistical test employed provides double check of superior reproducibility of BSI.

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

Join Here