Related Experiment Video
Updated: May 18, 2026
In Silico Clinical Trials for Cardiovascular Disease
Published on: May 27, 2022
Numerical simulation of blood flow in the left ventricle and aortic sinus using magnetic resonance imaging and
Mir-Hossein Moosavi1, Nasser Fatouraee, Hamid Katoozian
1a Biological Fluid Mechanics Research Laboratory, Faculty of Biomedical Engineering, Amirkabir University of Technology , Tehran , Iran.
Insights
This study simulates cardiac blood flow in a patient-specific left ventricle and aortic sinus model. Computational fluid dynamics (CFD) analysis provides detailed hemodynamic insights, validated by MRI measurements.
Area of Science:
- Cardiovascular Physiology
- Biomedical Engineering
- Medical Imaging
Background:
- Understanding cardiac blood flow is crucial for diagnosing hemodynamic disorders and assessing heart function.
- Patient-specific models offer personalized insights into cardiovascular dynamics.
Purpose of the Study:
- To perform numerical simulations of blood flow in a patient-specific left ventricle (LV) and aortic sinus model.
- To analyze detailed hemodynamic characteristics including velocity, pressure, and wall shear stress.
Main Methods:
- Utilized magnetic resonance imaging (MRI) to create a realistic 3D anatomical model of the LV and aortic sinus.
- Employed a computational fluid dynamics (CFD) model with a moving boundary approach and Arbitrary Lagrangian-Eulerian finite element method.
- Incorporated LV and aortic sinus wall motion derived from cine-MR image analysis as a model constraint.
Main Results:
- Generated detailed simulations of blood flow characteristics within the patient-specific cardiac model.
- Quantified velocity, pressure, and wall shear stress distributions throughout the LV and aortic sinus.
- Validated simulation outputs by comparing aortic outflow patterns with phase-contrast MRI data.
Conclusions:
- The study successfully simulated cardiac blood flow in a patient-specific model, demonstrating the utility of CFD.
- The results showed good agreement between CFD simulations and MRI measurements, supporting the model's accuracy.
- This approach provides a valuable tool for analyzing hemodynamics and aiding clinical assessment of heart function.
Abstract:
Understanding cardiac blood flow patterns has many applications in analysing haemodynamics and for the clinical assessment of heart function. In this study, numerical simulations of blood flow in a patient-specific anatomical model of the left ventricle (LV) and the aortic sinus are presented. The realistic 3D geometry of both LV and aortic sinus is extracted from the processing of magnetic resonance imaging (MRI). Furthermore, motion of inner walls of LV and aortic sinus is obtained from cine-MR image analysis and is used as a constraint to a numerical computational fluid dynamics (CFD) model based on the moving boundary approach. Arbitrary Lagrangian-Eulerian finite element method formulation is used for the numerical solution of the transient dynamic equations of the fluid domain. Simulation results include detailed flow characteristics such as velocity, pressure and wall shear stress for the whole domain. The aortic outflow is compared with data obtained by phase-contrast MRI. Good agreement was found between simulation results and these measurements.
