AI RESEARCH
An Automated Framework for Large-Scale Graph-Based Cerebrovascular Analysis
arXiv CS.CV
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ArXi:2512.03869v4 Announce Type: replace We present CaravelMetrics, a computational framework for automated cerebrovascular analysis that models vessel morphology through skeletonization-derived graph representations. The framework integrates atlas-based regional parcellation, centerline extraction, and graph construction to compute fifteen morphometric, topological, fractal, and geometric features. The features can be estimated globally from the complete vascular network or regionally within arterial territories, enabling multiscale characterization of cerebrovascular organization.