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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 Wijngaard2,3, 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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