A review of applications of automated ventricular parcellation from magnetic resonance imaging of the brain
Year: 2026
Type: article
Abstract: Ventricular parcellation or segmentation is the systematic assignment of pixels (or voxels), from an image of the brain, to the ventricular compartment. As opposed to manual methods, automated techniques seek to streamline segmentation for better, objective delineation of the ventricles. The refinement of these methods, powered by advances in computer vision, has provided significant biological insight into the pathogenesis of many neurological diseases affecting both adults and children. In this article, we present a review of applications of automated ventricular segmentation from magnetic resonance imaging (MRI) and offer a brief primer on brain segmentation methods to non-technical readers.
Source: Frontiers in Neurology
Authors: Birra Taha, Alexandra Benson, Leopold Arko IV, Noam Harel, Carolina Sandoval Garcia, Daniel Guillaume, Robert McGovern
Institutions: University of Minnesota, Normandale Community College
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,801
OpenAlex ID: W7147115257