Autor: |
Al-Jumaily AM; Institute of Biomedical Technologies, Auckland University of Technology, Auckland 1010, New Zealand., Al-Rawi M; Center for Engineering and Industrial Design, Waikato Institute of Technology, Hamilton 3240, New Zealand.; Faculty of Engineering, Chemical and Materials Engineering, The University of Auckland, Auckland 1010, New Zealand., Belkacemi D; Unité de Développement des Equipements Solaires, UDES, Centre de Développement des Energies Renouvelables, CDER, Tipaza 42004, Algeria., Sascău RA; Internal Medicine Department, Grigore T. Popa University of Medicine and Pharmacy, 700503 Iași, Romania.; Cardiology Department, Cardiovascular Diseases Institute, Prof. Dr. George I.M. Georgescu, 700503 Iași, Romania., Stătescu C; Internal Medicine Department, Grigore T. Popa University of Medicine and Pharmacy, 700503 Iași, Romania.; Cardiology Department, Cardiovascular Diseases Institute, Prof. Dr. George I.M. Georgescu, 700503 Iași, Romania., Țurcanu FE; Building Services Department, Faculty of Civil Engineering and Building Services, Gheorghe Asachi Technical University, 700050 Iaşi, Romania., Anghel L; Internal Medicine Department, Grigore T. Popa University of Medicine and Pharmacy, 700503 Iași, Romania.; Cardiology Department, Cardiovascular Diseases Institute, Prof. Dr. George I.M. Georgescu, 700503 Iași, Romania. |
Abstrakt: |
Cardiovascular diseases (CVD) remain the leading cause of mortality among older adults. Early detection is critical as the prognosis for advanced-stage CVD is often poor. Consequently, non-invasive diagnostic tools that can assess hemodynamic function, particularly of the aorta, are essential. Computational fluid dynamics (CFD) has emerged as a promising method for simulating cardiovascular dynamics efficiently and cost-effectively, using increasingly accessible computational resources. This study developed a CFD model to assess the aorta geometry using tetrahedral and polyhedral meshes. A healthy aorta was modeled with mesh sizes ranging from 0.2 to 1 mm. Key hemodynamic parameters, including blood pressure waveform, pressure difference, wall shear stress (WSS), and associated wall parameters like relative residence time (RRT), oscillatory shear index (OSI), and endothelial cell activation potential (ECAP) were evaluated. The performance of the CFD simulations, focusing on accuracy and processing time, was assessed to determine clinical viability. The CFD model demonstrated clinically acceptable results, achieving over 95% accuracy while reducing simulation time by up to 54%. The entire simulation process, from image construction to the post-processing of results, was completed in under 120 min. Both mesh types (tetrahedral and polyhedral) provided reliable outputs for hemodynamic analysis. This study provides a novel demonstration of the impact of mesh type in obtaining accurate hemodynamic data, quickly and efficiently, using CFD simulations for non-invasive aortic assessments. The method is particularly beneficial for routine check-ups, offering improved diagnostics for populations with limited healthcare access or higher cardiovascular disease risk. |