Arterial stiffness (AS) assessed by pulse wave velocity (PWV) has been shown to represent a valuable biomarker of cardiovascular disease risk. Local elastic properties of the murine aortic vessels such as the pulse-wave-velocity (PWV) can be examined using PC-MRI [1]. In the present study we provide an accelerated method based on a k-t BLAST undersampling scheme combined with a new semi-automatic segmentation algorithm to quantify the distribution of the local PWV along the aortic vessel.
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