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Accurate automatic estimation of total intracranial volume: A nuisance variable with less nuisance

Authors :
Malone, Ian B.
Leung, Kelvin K.
Clegg, Shona
Barnes, Josephine
Whitwell, Jennifer L.
Ashburner, John
Fox, Nick C.
Ridgway, Gerard R.
Source :
NeuroImage. 104:366-372
Publication Year :
2015
Publisher :
Elsevier BV, 2015.

Abstract

Total intracranial volume (TIV/ICV) is an important covariate for volumetric analyses of the brain and brain regions, especially in the study of neurodegenerative diseases, where it can provide a proxy of maximum pre-morbid brain volume. The gold-standard method is manual delineation of brain scans, but this requires careful work by trained operators. We evaluated Statistical Parametric Mapping 12 (SPM12) automated segmentation for TIV measurement in place of manual segmentation and also compared it with SPM8 and FreeSurfer 5.3.0. For T1-weighted MRI acquired from 288 participants in a multi-centre clinical trial in Alzheimer's disease we find a high correlation between SPM12 TIV and manual TIV (R2=0.940, 95% Confidence Interval (0.924, 0.953)), with a small mean difference (SPM12 40.4±35.4ml lower than manual, amounting to 2.8% of the overall mean TIV in the study). The correlation with manual measurements (the key aspect when using TIV as a covariate) for SPM12 was significantly higher (p

Details

ISSN :
10538119
Volume :
104
Database :
OpenAIRE
Journal :
NeuroImage
Accession number :
edsair.dedup.wf.001..37521b639a39191fba6439edf9054992
Full Text :
https://doi.org/10.1016/j.neuroimage.2014.09.034