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.
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