Cerebral small vessel diseases (cSVDs) are a group of conditions that account for up to 30% of strokes. Clinical manifestations associated with cSVD include blood–brain barrier (BBB) leakage, microbleeds, and white matter lesions. Here, we use multimodal MRI at 14.1Tesla to characterize radiological findings observed in innovative mouse models of cSVD caused by mutations in Collagen type IV alpha 1 (Col4a1). By leveraging several image processing toolboxes, we established a workflow that could successfully differentiate between disease subtypes based on the spatial distribution and volume of lesions.
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