Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,644

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

A Semiautomated Method for Measuring Brain Infarct Volume

Swanson, Raymond A., Morton, Matthew T., Tsao-Wu, George, Savalos, Robert A., Davidson, Charisse, Sharp, Frank R.·1990·Journal of Cerebral Blood Flow & Metabolism

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.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/jcbfm.1990.47

Cites

17 of 17 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 17 references

Cited by

See all 1,644

Metadata

Authors
Swanson, R. A., Morton, M. T., Tsao-Wu, G., Savalos, R. A., Davidson, C., & Sharp, F. R.
Venue
Journal of Cerebral Blood Flow & Metabolism
Published
1990-03
Volume
10
Issue
2
Pages
290-293
ISSN
  • 0271-678X (ISSN-L)
  • 1559-7016
OpenAlex
W1988086690
Cited by
1,644
References
17
FWCI
13.18
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: A Semiautomated Method for Measuring Brain Infarct Volume. https://app.cochat.ai/papers/10.1038/jcbfm.1990.47
The paper
Swanson, R. A., Morton, M. T., Tsao-Wu, G., Savalos, R. A., Davidson, C., & Sharp, F. R. (1990). A Semiautomated Method for Measuring Brain Infarct Volume. Journal of Cerebral Blood Flow & Metabolism. https://doi.org/10.1038/jcbfm.1990.47

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.