Many secondary flow patterns in the large vessels have been shown to represent significant pathophysiological phenomena. However, the computational cost to analyze a large number of quantities usually discourage the use of these parameters for clinical decision making given the limited computing resources in clinical settings. We describe a novel postprocessing method for comprehensive analysis of vascular anatomy and fluid dynamics based on 4D Flow MRI. The method defines a multi-dimensional feature space built from a few complementary fluid dynamics building blocks to efficiently determine a large number of anatomic and fluid dynamics parameters in the course of a vessel.
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