COMPUTATIONAL FLUID DYNAMICS VISUALISATION APPLIED TO MEDICAL MAGNETIC RESONANCE IMAGING

摘要

By using phase encoded sequences, magnetic resonance imaging can non invasively detect fluid motion in the human body with excellent accuracy. Resulting data sets describing three-dimensional unsteady motion can be very dense, being at least comparable to state of the art computational fluid dynamics (CFD) data. CFD visualisation techniques have been applied to medical images with the objectives of improving the investigative tools available to the clinician and increasing the speed with which useful information can be obtained from the data sets. This paper demonstrates the nature of the visualisation problem and the kinds of results that have already been achieved.