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Age-related changes of the brain's arterial network assessed with machine learning segmentation
2025-09-12
radiology and imaging
Title + abstract only
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PurposeTo provide a tool for the automatic segmentation of an arteriogram of the brain from MRA images and the estimation of arterial tortuosity as a summary marker. MethodsA deep learning model was trained and validated on a previously published set of semi-automatically segmented brain arteriograms. We tested whether arterial tortuosity estimated from a large number of age-representative subjects (N = 478) would reproduce previously published statistics of increasing tortuosity with age. Res...
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