A fully automatic tool for counting Virchow-Robin spaces in magnetic resonance imaging for lacunar stroke study

Abstract

Virchow-Robin Spaces surround the perforating arteries of the brain and sometimes they become dilated.Studies suggest that those structures are correlated with some conditions such as lacunar strokes, small vesseldiseases, multiple sclerosis or even normal aging. However, the majority of those studies are based on thedetection of those structures by a human expert, in some regions of interest, which is prone to the subjectivityof the person doing the task. Moreover, dilated Virchow-Robin Spaces may look similar to lacunar strokes,making them difficult to identify. Few works have been proposed on the computational detection of dilatedVirchow-Robin Spaces. In this paper, we propose a fully automatic tool, capable of preprocessing the magneticresonance images, extract the most relevant regions of interest and detect dilated Virchow-Robin Spaces. Sucha tool may be useful to eliminate human subjectivity, but also to improve the reproducibility of the studies,leading to more reliable correlations. An application to visualize and count the detected structures was alsobuilt, with the aim of helping in a study of the correlation of lacunar strokes, Virchow-Robin Spaces andvascular dementia