title: A framework for callosal fiber distribution analysis.
abstract: This paper presents a framework for analyzing the spatial distribution of neural fibers in the brain, with emphasis on interhemispheric fiber bundles crossing through the corpus callosum. The proposed approach combines methodologies for fiber tracking and spatial normalization and is applied on diffusion tensor images and standard magnetic resonance images.
authors.affiliation: Center for Biomedical Image Computing, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA.
authors.forename: Dongrong
authors.initials: D
authors.lastname: Xu
authors.forename: Susumu
authors.initials: S
authors.lastname: Mori
authors.forename: Meiyappan
authors.initials: M
authors.lastname: Solaiyappan
authors.forename: Peter C M
authors.initials: PC
authors.lastname: van Zijl
authors.forename: Christos
authors.initials: C
authors.lastname: Davatzikos
mesh_terms: D000328:Adult; D001931:Brain Mapping / Q000379:methods*; D003196:Computer Graphics; D003337:Corpus Callosum / Q000033:anatomy & histology*; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D004292:Dominance, Cerebral / Q000502:physiology*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods*; D015233:Models, Statistical; D009412:Nerve Fibers / Q000000981:diagnostic imaging*; D012016:Reference Values; D014463:Ultrasonography