TY - JOUR
T1 - Non-invasive hemodynamic assessment of aortic coarctation
T2 - Validation with in vivo measurements
AU - Itu, Lucian
AU - Sharma, Puneet
AU - Ralovich, Kristóf
AU - Mihalef, Viorel
AU - Ionasec, Razvan
AU - Everett, Allen
AU - Ringel, Richard
AU - Kamen, Ali
AU - Comaniciu, Dorin
N1 - Funding Information:
The authors would like to acknowledge Dr. Michael Suehling and Dr. Constantin Suciu. This work was partially supported by the Sectorial Operational Programme Human Resources Development (SOP HRD), financed from the European Social Fund and by the Romanian Government under the contract number POSDRU/88/1.5/S/76945. This work has been partially funded by European Union project Sim-e-Child (FP7 – 248421).
PY - 2013/4
Y1 - 2013/4
N2 - We propose a CFD-based approach for the non-invasive hemodynamic assessment of pre- and post-operative coarctation of aorta (CoA) patients. Under our approach, the pressure gradient across the coarctation is determined from computational modeling based on physiological principles, medical imaging data, and routine non-invasive clinical measurements. The main constituents of our approach are a reduced-order model for computing blood flow in patient-specific aortic geometries, a parameter estimation procedure for determining patient-specific boundary conditions and vessel wall parameters from non-invasive measurements, and a comprehensive pressure-drop formulation coupled with the overall reduced-order model. The proposed CFD-based algorithm is fully automatic, requiring no iterative tuning procedures for matching the computed results to observed patient data, and requires approximately 6-8 min of computation time on a standard personal computer (Intel Core2 Duo CPU, 3.06 GHz), thus making it feasible for use in a clinical setting. The initial validation studies for the pressure-drop computations have been performed on four patient datasets with native or recurrent coarctation, by comparing the results with the invasively measured peak pressure gradients recorded during routine cardiac catheterization procedure. The preliminary results are promising, with a mean absolute error of less than 2 mmHg in all the patients.
AB - We propose a CFD-based approach for the non-invasive hemodynamic assessment of pre- and post-operative coarctation of aorta (CoA) patients. Under our approach, the pressure gradient across the coarctation is determined from computational modeling based on physiological principles, medical imaging data, and routine non-invasive clinical measurements. The main constituents of our approach are a reduced-order model for computing blood flow in patient-specific aortic geometries, a parameter estimation procedure for determining patient-specific boundary conditions and vessel wall parameters from non-invasive measurements, and a comprehensive pressure-drop formulation coupled with the overall reduced-order model. The proposed CFD-based algorithm is fully automatic, requiring no iterative tuning procedures for matching the computed results to observed patient data, and requires approximately 6-8 min of computation time on a standard personal computer (Intel Core2 Duo CPU, 3.06 GHz), thus making it feasible for use in a clinical setting. The initial validation studies for the pressure-drop computations have been performed on four patient datasets with native or recurrent coarctation, by comparing the results with the invasively measured peak pressure gradients recorded during routine cardiac catheterization procedure. The preliminary results are promising, with a mean absolute error of less than 2 mmHg in all the patients.
KW - CFD
KW - Coarctation of aorta
KW - Non-invasive
KW - PC-MRI
KW - Pressure gradient
KW - Reduced-order models
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U2 - 10.1007/s10439-012-0715-0
DO - 10.1007/s10439-012-0715-0
M3 - Article
C2 - 23232558
AN - SCOPUS:84876497812
SN - 0090-6964
VL - 41
SP - 669
EP - 681
JO - Annals of biomedical engineering
JF - Annals of biomedical engineering
IS - 4
ER -