Diseases such as atherosclerosis and aneurysms produce complex changes in the artery geometry and blood velocity. It is not well understood how these changes are related to the onset of disease. As the aim of preventative medicine is to identify and treat patients at risk, a non-invasive diagnostic tool with predictive capability would have a major impact on mortality. Using ultrasound to acquire data on artery geometry and blood and tissue velocity, information can be gathered on a particular region of the cardiovascular tree. Image processing techniques are then used to segment and assemble the artery geometry with the associated measured blood and tissue velocities. This data is then passed to a combined CFD/FEM package for simulating blood flow and artery wall movement. From this, information on the biomechanical status of the artery can be obtained. This clinically important data can then be used to predict regions and severity of disease.