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PMID: 1689322 Published · ppublish English Journal Article Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S.

A semiautomated method for measuring brain infarct volume.

Swanson RA, Morton MT, Tsao-Wu G, Savalos RA, Davidson C, Sharp FR

Abstract

An accurate, reproducible method for determining the infarct volumes of gray matter structures is presented for use with presently available image analysis systems. Areas of stained sections with optical densities above that of a threshold value are automatically recognized and measured. This eliminates the potential error and bias inherent in manually delineating infarcted regions. Moreover, the volume of surviving normal gray matter is determined rather than that of the infarct. This approach minimizes the error that is introduced by edema, which distorts and enlarges the infarcted tissue and surrounding white matter.

MeSH Terms
Animals Basal Ganglia/pathology Cerebral Cortex/pathology Cerebral Infarction/pathology Image Processing, Computer-Assisted Male Rats Rats, Inbred Strains Reproducibility of Results Staining and Labeling
Authors & Affiliations
6 authors, click to expand affiliations / ORCID
Swanson R A
Department of Neurology, University of California, San Francisco.
Morton M T
Tsao-Wu G
Savalos R A
Davidson C
Sharp F R
Article Info
Journal
Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism
Abbr.
J Cereb Blood Flow Metab
ISSN
0271-678X
Published
1990-03-00
Pages
290-3
Language
English
Region
United States
NLM ID
8112566
Subset
IM
Grants
NINDS NIH HHS · 1R01NS24666-01 · United States
Corrections
CommentIn
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