Statistical atlas of acute stroke from magnetic resonance diffusion-weighted-images of the brain

Michel Bilello, Zhiqiang Lao, Jaroslaw Krejza, Argye Hillis-Trupe, Edward H. Herskovits

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
Pages (from-to)235-242
Number of pages8
JournalNeuroinformatics
Volume4
Issue number3
DOIs
StatePublished - Sep 2006
Externally publishedYes

Fingerprint

Atlases
Magnetic resonance
Brain
Magnetic Resonance Spectroscopy
Stroke
Space Simulation
Spatial distribution
Datasets

Keywords

  • Atlas
  • Computer-aided
  • Diffusionweighted
  • Image processing
  • MRI
  • Statistical
  • Stroke

ASJC Scopus subject areas

  • Neuroscience(all)
  • Health Informatics

Cite this

Statistical atlas of acute stroke from magnetic resonance diffusion-weighted-images of the brain. / Bilello, Michel; Lao, Zhiqiang; Krejza, Jaroslaw; Hillis-Trupe, Argye; Herskovits, Edward H.

In: Neuroinformatics, Vol. 4, No. 3, 09.2006, p. 235-242.

Research output: Contribution to journalArticle

Bilello, Michel ; Lao, Zhiqiang ; Krejza, Jaroslaw ; Hillis-Trupe, Argye ; Herskovits, Edward H. / Statistical atlas of acute stroke from magnetic resonance diffusion-weighted-images of the brain. In: Neuroinformatics. 2006 ; Vol. 4, No. 3. pp. 235-242.
@article{f24ca995adf841468d6de63bb013dbe8,
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.",
keywords = "Atlas, Computer-aided, Diffusionweighted, Image processing, MRI, Statistical, Stroke",
author = "Michel Bilello and Zhiqiang Lao and Jaroslaw Krejza and Argye Hillis-Trupe and Herskovits, {Edward H.}",
year = "2006",
month = "9",
doi = "10.1385/NI:4:3:235",
language = "English (US)",
volume = "4",
pages = "235--242",
journal = "Neuroinformatics",
issn = "1539-2791",
publisher = "Humana Press",
number = "3",

}

TY - JOUR

T1 - Statistical atlas of acute stroke from magnetic resonance diffusion-weighted-images of the brain

AU - Bilello, Michel

AU - Lao, Zhiqiang

AU - Krejza, Jaroslaw

AU - Hillis-Trupe, Argye

AU - Herskovits, Edward H.

PY - 2006/9

Y1 - 2006/9

N2 - 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.

AB - 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.

KW - Atlas

KW - Computer-aided

KW - Diffusionweighted

KW - Image processing

KW - MRI

KW - Statistical

KW - Stroke

UR - http://www.scopus.com/inward/record.url?scp=33748356065&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33748356065&partnerID=8YFLogxK

U2 - 10.1385/NI:4:3:235

DO - 10.1385/NI:4:3:235

M3 - Article

VL - 4

SP - 235

EP - 242

JO - Neuroinformatics

JF - Neuroinformatics

SN - 1539-2791

IS - 3

ER -