Hypertrophic Cardiomyopathy (HCM) is a common cause of sudden heart death in young adults. MRI is a powerful tool for the diagnosis and surveillance of this myocardial morphology as well as tissue injury. In clinical routine the assessment is mainly based on visual assessment or semi-quantification is increasingly used. Quantification of perfusion defect should be nowadays assessed with computational tools. We aim at quantifying differences in perfusion with a computational flow model that incorporates the vascular, as well as extracellular compartment, using the Damköhler Number $$$Da$$$. Areas of different perfusion in N=5 patients with HCM were fitted in $$$Da$$$ with model-derived curves with an overall error of 10.48%.
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