MRI analysis tool reveals brain artery differences missed by older software

Researchers at the University of Rochester have developed a software tool called ArteryX that automates the analysis of brain artery MRI images. This technology aims to remove manual bottlenecks in research, allowing for more consistent measurements of vascular health and disease progression.
Why it matters
Automated medical imaging tools can significantly accelerate neurological research and improve the accuracy of diagnosing conditions like stroke and dementia.
by Mark Michaud, University of Rochester Medical Center
edited by Sadie Harley , reviewed by Robert Egan
This article has been reviewed according to Science X's editorial process and policies . Editors have highlighted the following attributes while ensuring the content's credibility:
Add to Preferred Sources Credit: University of Rochester Medical Center The brain's network of blood vessels plays a critical role in maintaining neurological health. Changes to these vessels are associated with conditions including stroke, cognitive impairment and dementia. Yet studying the brain's smallest arteries can be challenging, in part because extracting detailed measurements from MRI images often requires substantial manual work.
Researchers at University of Rochester Medicine are developing a technology called ArteryX to address this challenge. The software toolbox analyzes MRI images of the brain's arteries, allowing researchers to measure characteristics such as vessel size, length, branching and complexity.
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