Tuning multidomain hemodynamic simulations to match physiological measurements

Area of Science:

• Biomedical Engineering
• Computational Fluid Dynamics
• Cardiovascular Physiology

Background:

• Realistic cardiovascular models are crucial for medical applications.
• Current models often lack integration of patient-specific physiological data.
• Developing accurate hemodynamic models requires advanced computational methods.

Purpose of the Study:

• To develop a systematic method for tuning three-dimensional blood flow models.
• To incorporate measured physiological data into cardiovascular models.
• To achieve desired pressure and flow waveform features in hemodynamic simulations.

Main Methods:

• Formulated a tuning method as a nonlinear system of equations.
• Employed a quasi-Newton method informed by a reduced-order model.
• Solved three-dimensional hemodynamic models using a stabilized finite-element method with deformable vessel walls.

Main Results:

• Successfully applied the tuning method to idealized and patient-specific arterial models.
• Achieved target pressure and flow waveform characteristics in an abdominal aorta model.
• Demonstrated automatic generation and tuning of hemodynamic models with minimal user input.

Conclusions:

• The developed method enables efficient creation of patient-specific cardiovascular models.
• This approach supports detailed evaluation of cardiovascular mechanics.
• Facilitates simulation-based design of medical devices and patient-specific treatment planning.