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Published on: December 2, 2014
Non-invasive hemodynamic assessment of aortic coarctation: validation with in vivo measurements
Lucian Itu1, Puneet Sharma, Kristóf Ralovich
1Siemens Corporate Research and Technology, 755 College Road East, Princeton, NJ 08540, USA. lucian.itu@unitbv.ro
Insights
We developed a fast, automatic CFD method to assess blood flow in coarctation of the aorta (CoA) patients non-invasively. This approach accurately predicts pressure gradients, aiding pre- and post-operative care.
Area of Science:
- Cardiovascular Physiology
- Medical Imaging Analysis
- Computational Fluid Dynamics
Background:
- Coarctation of the aorta (CoA) requires careful hemodynamic assessment, especially pre- and post-operatively.
- Current non-invasive methods may lack precision in determining pressure gradients across the coarctation.
- Accurate hemodynamic assessment is crucial for effective patient management and surgical planning.
Purpose of the Study:
- To introduce a novel, non-invasive computational fluid dynamics (CFD)-based approach for hemodynamic assessment in coarctation of the aorta (CoA) patients.
- To determine the pressure gradient across the coarctation using patient-specific computational modeling.
- To validate the feasibility and accuracy of this CFD approach in a clinical setting.
Main Methods:
- Developed a reduced-order model for blood flow computation in patient-specific aortic geometries.
- Implemented a parameter estimation procedure using non-invasive measurements for boundary and vessel wall conditions.
- Integrated a comprehensive pressure-drop formulation with the reduced-order model for automatic calculation.
- Validated the method against invasively measured peak pressure gradients in four CoA patient datasets.
Main Results:
- The CFD-based algorithm is fully automatic, requiring no iterative tuning.
- Computation time is approximately 6-8 minutes on a standard personal computer, ensuring clinical feasibility.
- Preliminary validation showed a mean absolute error of less than 2 mmHg when compared to invasive measurements.
- The approach demonstrated promising accuracy for pressure-drop computations in patients with native or recurrent coarctation.
Conclusions:
- The proposed CFD-based approach offers a feasible and accurate non-invasive method for hemodynamic assessment in CoA patients.
- This technique can reliably determine pressure gradients, supporting clinical decisions in pre- and post-operative management.
- The automatic nature and short computation time make it suitable for routine clinical use.
Abstract:
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.
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