Sci Data - Reliability of brain volume measurements: a test-retest dataset.

Tópicos

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Resumo

Evaluation of neurodegenerative disease progression may be assisted by quantification of the volume of structures in the human brain using magnetic resonance imaging (MRI). Automated segmentation software has improved the feasibility of this approach, but often the reliability of measurements is uncertain. We have established a unique dataset to assess the repeatability of brain segmentation and analysis methods. We acquired 120 T1-weighted volumes from 3 subjects (40 volumes/subject) in 20 sessions spanning 31 days, using the protocol recommended by the Alzheimer's Disease Neuroimaging Initiative (ADNI). Each subject was scanned twice within each session, with repositioning between the two scans, allowing determination of test-retest reliability both within a single session (intra-session) and from day to day (inter-session). To demonstrate the application of the dataset, all 3D volumes were processed using FreeSurfer v5.1. The coefficient of variation of volumetric measurements was between 1.6% (caudate) and 6.1% (thalamus). Inter-session variability exceeded intra-session variability for lateral ventricle volume (P<0.0001), indicating that ventricle volume in the subjects varied between days.

Resumo Limpo

evalu neurodegen diseas progress may assist quantif volum structur human brain use magnet reson imag mri autom segment softwar improv feasibl approach often reliabl measur uncertain establish uniqu dataset assess repeat brain segment analysi method acquir tweight volum subject volumessubject session span day use protocol recommend alzheim diseas neuroimag initi adni subject scan twice within session reposit two scan allow determin testretest reliabl within singl session intrasess day day intersess demonstr applic dataset d volum process use freesurf v coeffici variat volumetr measur caudat thalamus intersess variabl exceed intrasess variabl later ventricl volum p indic ventricl volum subject vari day

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