Computational Approaches to Vascular Biomechanics: Linking Patient-Specific Clinical Data with Multiscale Modeling and Simulation
سال انتشار: 1404
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 5
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شناسه ملی سند علمی:
ECME26_184
تاریخ نمایه سازی: 30 مهر 1404
چکیده مقاله:
Recent advancements in computational biomechanics have significantly enhanced our understanding of vascular physiology and pathophysiology. The integration of patient-specific clinical data with computational models offers a powerful framework for predicting vascular behavior under physiological and pathological conditions. This study explores the state-of-the-art computational approaches that link imaging-based clinical datasets, such as CT angiography (CTA), MR angiography (MRA), and intravascular ultrasound (IVUS), with numerical simulations of blood flow, arterial wall mechanics, and hemodynamic responses. By coupling these data-driven models with finite element analysis (FEA), computational fluid dynamics (CFD), and fluid–structure interaction (FSI) techniques, researchers can develop personalized predictive tools that improve diagnostic accuracy and treatment planning.Furthermore, this study highlights the crucial role of multiscale modeling in bridging the gap between cellular-level mechanobiology and whole-organ biomechanics, enabling more accurate assessment of vascular diseases such as aneurysms, atherosclerosis, and arterial stiffening. The study also discusses recent efforts in model validation, uncertainty quantification, and the integration of machine learning techniques to enhance computational efficiency and clinical relevance.By reviewing the current body of research, this study identifies key challenges in translating computational findings into clinical practice, including data standardization, model personalization, and real-time simulation constraints. Finally, it proposes future directions aimed at establishing a synergistic pipeline between clinical data acquisition, model calibration, and patient-specific vascular simulations, thereby advancing precision medicine and personalized cardiovascular healthcare.
کلیدواژه ها:
Computational Modeling ، Patient-Specific Simulation ، Hemodynamics ، Finite Element Analysis (FEA) ، Fluid–Structure Interaction (FSI)
نویسندگان
Seyedhamidreza Emadiyanrazavi
۱ Department of Biomedical Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran