Abstract #1316

Analysis of Location-dependent Errors of Myocardial Blood Flow (MBF) Estimates using Computational Fluid Dynamics (CFD)-Simulations

Tim A. Jedamzik¹, Johannes Martens¹, Sabine Panzer¹, Maria Siebes², Jeroen P. H. M. van den Wijngaard^2,3, and Laura M. Schreiber¹

¹Chair of Cellular and Molecular Imaging, Comprehensive Heart Failure Center (CHFC), University Hospital Würzburg, Würzburg, Germany, ²Dept. of Biomedial Engineering & Physics - Translational Physiology, Amsterdam UMC, University of Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, Netherlands, ³Dept. of Clinical Chemistry and Hematology, Diakenessenhuis, Utrecht, Netherlands

To analyze systematic errors and regional variability of the myocardial blood flow (∆MBF) and myocardial perfusion reserve (∆MPR) estimates in dynamic contrast-enhanced perfusion MRI, computational fluid dynamic (CFD)-simulations were performed in a realistic 3D coronary vasculature model of an ex-vivo porcine heart. Simulations were performed down to the pre-arteriolar level for the myocardial segments. The simulations show a strong spatial variance in the resulting ∆MBF and ∆MPR values of up to 60%. The errors are increasing with distance from the model inlet as well as with lower flow velocities. Errors are more pronounced in the right coronary artery.

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