Cardiovascular diseases, particularly atherosclerosis, remain the leading cause of death worldwide. This study employs computational fluid dynamics (CFD) coupled with cardiac computed tomography (CT) to simulate coronary blood flow in both idealized and patient-specific models. Different sizes of atherosclerotic plaques were introduced near bifurcations and curved regions to investigate their hemodynamic effects. The simulations provided non-invasive assessments of key parameters, including blood velocity, wall shear stress (WSS), relative pressure difference, and fractional flow reserve (FFR). These parameters offer valuable insights into coronary stenosis severity and lumen narrowing, which are closely associated with heart attacks. The CT-based CFD framework demonstrates potential as a non-invasive alternative to catheter-based FFR evaluation in coronary artery disease diagnosis.
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Dr. Kazi Ekramul Hoque is a faculty member in the Department of Mathematics at Ahsanullah University of Science and Technology (AUST), Dhaka. He received his M.Sc. in Scientific Computing from Heidelberg University, Germany, and earned his Ph.D. from the University of Dhaka, Bangladesh.
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