title: Reliability of brain volume measurements: a test-retest dataset.
abstract: 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.
authors.affiliation: Center for Quantitative Neuroimaging, Department of Radiology, Stanford University , Stanford, California 94305, USA.
authors.forename: Julian
authors.initials: J
authors.lastname: Maclaren
authors.affiliation: Center for Quantitative Neuroimaging, Department of Radiology, Stanford University , Stanford, California 94305, USA.
authors.forename: Zhaoying
authors.initials: Z
authors.lastname: Han
authors.affiliation: Center for Quantitative Neuroimaging, Department of Radiology, Stanford University , Stanford, California 94305, USA ; Image Sciences Institute, University Medical Center Utrecht , 3584 CX Utrecht, The Netherlands.
authors.forename: Sjoerd B
authors.initials: SB
authors.lastname: Vos
authors.affiliation: Center for Quantitative Neuroimaging, Department of Radiology, Stanford University , Stanford, California 94305, USA.
authors.forename: Nancy
authors.initials: N
authors.lastname: Fischbein
authors.affiliation: Center for Quantitative Neuroimaging, Department of Radiology, Stanford University , Stanford, California 94305, USA.
authors.forename: Roland
authors.initials: R
authors.lastname: Bammer
mesh_terms: D001921:Brain / Q000033:anatomy & histology*; D005260:Female; D006801:Humans; D020547:Lateral Ventricles / Q000033:anatomy & histology; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D009929:Organ Size; D015203:Reproducibility of Results; D012984:Software