Ultrasound imaging can provide measurements of the incremental vessel wall displacement along a ~30mm field of view. Plane wave ultrasound imaging with beamforming allows a framerate of up to 8000 Hz to be achieved with 128 scan lines, which corresponds to 1,024,000 wall displacement measurements per second, making it an ideal application for a model-fitting inverse problem. A schematic of the process for pulse wave imaging is given in figure 1. In an experiment, wall displacements and/or fluid velocities resulting from the pulsatile flow are recorded, which carry information about the unknown parameters of interest (in this case, the vessel stiffness). An estimate of these unknown parameters is then used in a parameterized computational model to produce displacements and velocities analogous to the measured data, and a cost function is evaluated to determine the mismatch between the model and measurements. The parameters are then iteratively updated until the cost function is minimized. Assuming the model is a reasonably good match to the experimental system, the final model parameters should be a good estimate of the true parameters. Simulated data sampled at a typical measurement resolution can be used in place of experimental data to verify that the algorithm works under ideal conditions, and investigate the sensitivity of the algorithm to conditions such as noise or changes in resolution.