title: Method for quantification of brain, ventricular, and subarachnoid CSF volumes from MR images.
abstract: We describe a simple, rapid, and semiautomated method of MR analysis based on mathematical modeling of MR pixel intensity histograms. The method is shown to be accurate and reliable for regional analysis of brain, central, and subarachnoid CSF volumes. Application of the method to five young and six older subjects revealed significant age-related changes in regional brain volumes whereas no difference was found for traced central CSF volumes or subarachnoid CSF volumes. We conclude that this is a simple method that can be applied to further studies of quantification of brain structure in healthy aging and brain disease.
authors.affiliation: Laboratory of Neurosciences, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892.
authors.forename: C
authors.initials: C
authors.lastname: DeCarli
authors.forename: J
authors.initials: J
authors.lastname: Maisog
authors.forename: D G
authors.initials: DG
authors.lastname: Murphy
authors.forename: D
authors.initials: D
authors.lastname: Teichberg
authors.forename: S I
authors.initials: SI
authors.lastname: Rapoport
authors.forename: B
authors.initials: B
authors.lastname: Horwitz
mesh_terms: D000328:Adult; D000368:Aged; D001921:Brain / Q000033:anatomy & histology*; D002552:Cerebral Ventricles / Q000033:anatomy & histology; D002555:Cerebrospinal Fluid; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D013346:Subarachnoid Space; D013702:Temporal Lobe / Q000033:anatomy & histology