title: Statistical atlas of acute stroke from magnetic resonance diffusion-weighted-images of the brain.
abstract: This study presents a method for computing a probabilistic atlas that describes the spatial distributions of acute infarcts of the brain. The data consisted of diffusion-weighted-images (DWI) and high-resolution T1-weighted MR images representing 22 studies from 22 subjects. All DWI data sets contained high-intensity lesions on B-1000 maps, known from clinical history to be related to acute stroke. To compute the atlas, manually segmented infarcts on original DWI were spatially transformed and registered to a common coordinate system. This coordinate system allowed combining all lesions into a statistical atlas in the model space. As a result, the computed probabilistic map showed mild left-sided predominance of brain infarcts, which likely represents asymmetry in eloquence of brain regions. In our opinion, the statistical atlas of acute brain infarcts can facilitate computer-based detection of stroke in large image data sets.
authors.affiliation: Department of Radiology, Hospital of the University of Pennsylvania, PA, USA. Michel.Bilello@uphs.upenn.edu
authors.forename: Michel
authors.initials: M
authors.lastname: Bilello
authors.forename: Zhiqiang
authors.initials: Z
authors.lastname: Lao
authors.forename: Jaroslaw
authors.initials: J
authors.lastname: Krejza
authors.forename: Argye E
authors.initials: AE
authors.lastname: Hillis
authors.forename: Edward H
authors.initials: EH
authors.lastname: Herskovits
mesh_terms: D001921:Brain / Q000473:pathology*; D038524:Diffusion Magnetic Resonance Imaging; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D020521:Stroke / Q000473:pathology*