Magnetic Resonance Imaging (MRI) is used to measure blood flow. It allows assessing not only dynamic images of the heart and the large arteries, but also functional velocity images by means of Phase Contrast. This promising technique is important for studying fluid dynamics and characterizing the arteries, especially the large systemic arteries that play a prominent role in the blood circulation. One of the parameters used for determining the cardiac function and the vascular behavior is the arterial pressure. The reference technique for measuring the aortic pressure is catheterism, but several methods combining imaging and mathematical modeling have been proposed in order to non-invasively estimate a pressure gradient. This work proposes to measure pressure in an aortic segment through a simplified 1D model using MRI measured flow and 0D model representing the peripheral vascular system as boundary conditions. To adapt the model to the aorta of a patient, a pressure law was used forming a relation between the aortic section area and pressure, based on compliance, which is linked to pulse wave velocity (PWV) estimated on MRI measured flow waves.Scan duration was optimized, as it is often a limitation during image acquisition. Velocity and acceleration sequences require a long time and may cause artifacts. Hence, they are acquired during apnea to avoid respiratory motion. However, for such acquisitions, a subject would have to hold their breath for more than 25 seconds which can pose difficulties for some patients. A technique that allows dynamic acquisition time optimization through field of view reduction was proposed and studied. The technique unfolds fold-over regions by complex difference of two images, one of which is motion encoded and the other acquired without an encoding gradient. By implementing this method, we decrease the acquisition time by more than 25%
