Vascular compliance is an important predictor of cardiovascular disease and stroke. Here we proposed a technique to map vascular compliance along the entire intracranial arterial tree. We applied the ASL MRA to acquire k-space data in radial fashion. Then the k-space data was retrospectively grouped by cardiac phases and reconstructed by the GRASP algorithm. A series of cardiac-phase-resolved angiography images were obtained, allowing quantification of vascular compliance.