Investigation of the Pulmonary Artery Hypertension Using an Ad Hoc OpenFOAM CFD Solver

• Published in: Fluids (Basel) Vol. 10; no. 1; p. 6
• Main Authors: Duronio, Francesco, Marchetti, Paola
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.01.2025
• Subjects: Ad hoc networks (Computer networks); Blood flow; Blood vessels; Boundary conditions; Cardiovascular diseases; cardiovascular flow; CFD; Computational fluid dynamics; Computer simulation; Computer-generated environments; Data analysis; Flow characteristics; Flow velocity; Fluid dynamics; Group dynamics; Hemodynamics; Hydrodynamics; Hypertension; Investigations; Lungs; Magnetic resonance imaging; patient-specific simulation; Physiological aspects; Pressure distribution; Public libraries; pulmonary arterial hypertension; Pulmonary arteries; Pulmonary hypertension; Shear stress; Solvers; Surgical instruments; Tests, problems and exercises; Velocity; Wall shear stresses; Italy
• ISSN: 2311-5521; 2311-5521
• DOI: 10.3390/fluids10010006

Cardiovascular diseases are a group of disorders that affect the heart and blood vessels, representing a leading cause of death worldwide. With the help of computational fluid dynamics, it is possible to study the hemodynamics of the pulmonary arteries in detail and simulate various physiological conditions, thus offering numerous advantages over invasive analyses in the phases of diagnosis and surgical planning. Specifically, the aim of this study is the fluid dynamic analysis of the pulmonary artery, comparing the characteristics of the blood flow in a healthy subject with that of a patient affected by pulmonary arterial hypertension. We performed CFD simulations with the OpenFOAM C++ library using a purposely developed solver that features the Windkessel model as a pressure boundary condition. This methodology, scarcely applied in the past for this problem, allows for a proficient analysis and the detailed quantification of the most important fluid-dynamic parameters (flow velocity, pressure distribution, and wall shear stress (WSS)) with improved accuracy and resolution when compared with classical simulation and diagnostic techniques. We verified the validity of the adopted methodology in reproducing the blood flow by relying on experimental data. A detailed comparative analysis highlights the differences between healthy and pathological cases in hemodynamic terms. The outcomes of this work contribute to enlarging the knowledge of the blood flow characteristics in the human pulmonary artery, revealing substantial differences between the two clinical scenarios investigated and highlighting how arterial hypertension drastically changes the blood flow. The analysis of the data confirmed the importance of CFD as a supportive tool in understanding, diagnosing, and monitoring the pathophysiological mechanisms underlying cardiovascular diseases, proving to be a powerful means for personalizing surgical treatments.