A Semiautomated Method for Measuring Brain Infarct Volume

TLDR

The study presents an accurate, reproducible method for measuring gray matter infarct volumes using existing image analysis systems. The method automatically identifies stained regions exceeding a density threshold and measures their volume with standard image analysis software. This automated approach eliminates manual delineation bias, measures surviving normal gray matter rather than infarct, and reduces edema‑related errors.

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.