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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