A model to predict the histopathology of human stroke using diffusion and t sub 2-weighted magnetic resonance imaging

K. M.A. Welch, Joseph Windham, Robert A. Knight, Vijaya Nagesh, James W. Hugg, Mike Jacobs, Donald Peck, Patty Booker, Mary O. Dereski, Steven R. Levine

Research output: Contribution to journalArticle

Abstract

Background and PurposeWe sought to identify MRI measures that have high probability in a short acquisition time to predict, at early time points after onset of ischemia, the eventual development of cerebral infarction in clinical patients who suffer occlusion of a cerebral artery.

Original languageEnglish (US)
Pages (from-to)1983-1989
Number of pages7
JournalStroke
Volume26
Issue number11
DOIs
StatePublished - Nov 1995

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ASJC Scopus subject areas

  • Clinical Neurology
  • Cardiology and Cardiovascular Medicine
  • Advanced and Specialized Nursing

Cite this

Welch, K. M. A., Windham, J., Knight, R. A., Nagesh, V., Hugg, J. W., Jacobs, M., Peck, D., Booker, P., Dereski, M. O., & Levine, S. R. (1995). A model to predict the histopathology of human stroke using diffusion and t sub 2-weighted magnetic resonance imaging. Stroke, 26(11), 1983-1989. https://doi.org/10.1161/01.STR.26.11.1983