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Brain volume loss (atrophy) is widely used as a marker of disease progression. Atrophy has been measured with a variety of methods, some estimating atrophy rate from two temporally separated scans, and others estimating atrophy state from a single scan. Three popular tools for measuring brain atrophy are BSI and SIENA (rate) and SIENAX (state). Previous papers have shown BSI and SIENA to have similar accuracy, but no work has carefully compared both methods using the same data set. Here we compare these methods, using data from patients with Alzheimer's disease and age-matched controls. We also compare the SIENA longitudinal measure with atrophy state estimated by SIENAX using just the earliest scan taken from each subject. We show strong correspondence and similar sensitivity to atrophy between all 3 measures.

Original publication

DOI

10.1016/j.neuroimage.2007.04.035

Type

Journal article

Journal

Neuroimage

Publication Date

15/07/2007

Volume

36

Pages

1200 - 1206

Keywords

Aged, Alzheimer Disease, Artifacts, Artificial Intelligence, Atrophy, Brain, Cerebral Ventricles, Cross-Sectional Studies, Female, Humans, Image Processing, Computer-Assisted, Longitudinal Studies, Magnetic Resonance Imaging, Male, Reference Values, Sensitivity and Specificity, Software