In the last few years, there have been dramatic advances in our understanding of fundamental mechanisms underlying biological processes involving fluid-structure interaction. As a necessary partner, there have been parallel developments in mathematical modeling, analysis and simulation techniques to explain these mechanisms. While these methods help enhance our ability to understand complex processes (such as the interaction of blood flow with the arterial wall) when used in conjunction with traditional MRI and CT scan image reconstruction tools, there is still a great need for efficient computational methods that can not only help simulate physiologically realistic situations qualitatively but also help analyze and study three-dimensional patient specific modeling of such processes quantitatively. These will be the focus of this proposal with a demonstrated application in the field of large blood vessel mechanics, specifically to address the issue of rupture risk assessment of abdominal aortic aneurysms. The primary goal of this proposal is to develop, implement, validate and apply an efficient computational methodology for analyzing strongly-coupled fluid-structure interaction (FSI) modeling for domains with multiple materials. The application of this methodology will be focused on the assessment of the transient biomechanical environment of native AAAs. The following specific aims are proposed to accomplish this goal: (1) Develop and validate an efficient, strongly-coupled fluid-structure interaction algorithm and (2) Apply the FSI computational tool to a patient-specific AAA clinical research study and evaluate the performance of the associated dynamic vascular mechanics.

Public Health Relevance

This award will enable the development of a computational methodology for modeling the dynamic interaction between blood flow and the vessel wall at the organ scale. We will apply the method to non-invasively evaluate the biomechanical environment of abdominal aortic aneurysms (AAAs) dynamically. To this end, we will combine clinical imaging with computational algorithms to reconstruct patient-specific aneurysms and evaluate the flow-induced wall stresses and deformation. This methodology is expected to greatly enhance the presurgical planning capabilities of vascular surgeries and endovascular therapies in the future management of cardiovascular diseases.

National Institute of Health (NIH)
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Exploratory/Developmental Grants (R21)
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Biomedical Computing and Health Informatics Study Section (BCHI)
Program Officer
Peng, Grace
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Carnegie-Mellon University
Engineering (All Types)
Schools of Engineering
United States
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Chandra, Santanu; Gnanaruban, Vimalatharmaiyah; Riveros, Fabian et al. (2016) A Methodology for the Derivation of Unloaded Abdominal Aortic Aneurysm Geometry With Experimental Validation. J Biomech Eng 138:
Raut, Samarth S; Jana, Anirban; De Oliveira, Victor et al. (2013) The importance of patient-specific regionally varying wall thickness in abdominal aortic aneurysm biomechanics. J Biomech Eng 135:81010
Lee, Kibaek; Zhu, Junjun; Shum, Judy et al. (2013) Surface curvature as a classifier of abdominal aortic aneurysms: a comparative analysis. Ann Biomed Eng 41:562-76
Chandra, Santanu; Raut, Samarth S; Jana, Anirban et al. (2013) Fluid-structure interaction modeling of abdominal aortic aneurysms: the impact of patient-specific inflow conditions and fluid/solid coupling. J Biomech Eng 135:81001
Raut, Samarth S; Chandra, Santanu; Shum, Judy et al. (2013) The role of geometric and biomechanical factors in abdominal aortic aneurysm rupture risk assessment. Ann Biomed Eng 41:1459-77
Riveros, Fabian; Chandra, Santanu; Finol, Ender A et al. (2013) A pull-back algorithm to determine the unloaded vascular geometry in anisotropic hyperelastic AAA passive mechanics. Ann Biomed Eng 41:694-708
Zhang, Hong; Kheyfets, Vitaly O; Finol, Ender A (2013) Robust infrarenal aortic aneurysm lumen centerline detection for rupture status classification. Med Eng Phys 35:1358-67
Shum, Judy; Martufi, Giampaolo; Di Martino, Elena et al. (2011) Quantitative assessment of abdominal aortic aneurysm geometry. Ann Biomed Eng 39:277-86
Washington, Christopher B; Shum, Judy; Muluk, Satish C et al. (2011) The association of wall mechanics and morphology: a case study of abdominal aortic aneurysm growth. J Biomech Eng 133:104501
Shum, Judy; Xu, Amber; Chatnuntawech, Itthi et al. (2011) A framework for the automatic generation of surface topologies for abdominal aortic aneurysm models. Ann Biomed Eng 39:249-59