Imaging of blood supply patterns is of high clinical interest to improve diagnostics in cerebrovascular diseases (CVD). However, the only clinically available imaging method is invasive digital subtraction angiography (DSA). We present data from 17 participants, including 7 CVD patients, with non-invasive MRI-based perfusion territory mapping by super-selective arterial spin labeling (ss-ASL) and time-resolved angiography by 4D-sPack with automated planning. Our results successfully confirmed automated planning even in CVD patients. Collateral pathways were non-invasively depicted by ss-ASL and 4D-sPack. Moreover, congruent results with DSA, contrast-enhanced MR-angiography and perfusion MRI demonstrated great potential for future routine application of ss-ASL and 4D-sPack.
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