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Abstract #2723

PRESSURE GRADIENT PREDICTION IN AORTIC COARCTATION USING A COMPUTATIONAL-FLUID-DYNAMICS MODEL: Validation against invasive pressure catheterization at rest and pharmacological stress

Julio Sotelo 1,2 , Israel Valverde 3,4 , Philipp Beerbaum 5 , Heynric B. Grotenhuis 6 , Gerald Greil 7 , Tobias Schaeffter 7 , Reza Razavi 7 , Daniel E. Hurtado 2 , Sergio Uribe 1,8 , and C. Alberto Figueroa 7,9

1 Biomedical Imaging Center, Electrical Engineering Department, Pontificia Universidad Catolica de Chile, Santiago, RM, Chile, 2 Structural and Geotechnical Engineering Departement, Pontificia Universidad Catolica de Chile, Santiago, RM, Chile, 3 Pediatric Cardiology Unit, Hospital Virgen del Rocio, Seville, Spain, 4 Cardiovascular Pathology Unit, Institute of Biomedicine of Seville (IBIS), Seville, Spain, 5 Hannover Medical University, Hannover, Niedersachsen, Germany, 6 Child Cardiology Department, Leiden University, Leiden, Netherlands, 7 Division of Imaging Sciences and Biomedical Engineering, Kings College London, London, United Kingdom, 8 Radiology Department, School of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile, 9 Department of Surgery and Biomedical Engineering, University of Michigan, Michigan, United States

We predict the pressure gradient using CFD and MRI in seven patients with AoCo, who had a previous MRI and cardiac catheterization study at rest and stress condition. We obtained a good agreement of pressure gradients measurement with the mean and peak value of the pressure curves. The average difference of pressure gradient using the mean values was 0.09mmHg and 1.34mmHg for rest and stress conditions, the mean difference of pressure gradient using the peak value was 0.6mmHg and 15.3mmHg for rest and stress conditions respectively. We are able to predict non-invasively the pressure gradient using CFD based on MRI.

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