Image-based computational modeling and GPU-accelerated computation for noninvasive and personalized quantification of hemodynamic abnormalities in stenosed human arteries
| Interdisciplinary Areas: | Data and Engineering Applications, Engineering-Medicine, Human-Machine/Computer Interaction, Human Factors, Human-Centered Design |
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Project Description
Arterial stenosis (AS), which can occur in any artery, poses a significant public health challenge, contributing to substantial mortality rates and healthcare costs worldwide. Accurate diagnosis and effective clinical management of AS depend heavily on assessing its ischemia levels and plaque rupture risks. The fluid-structure interaction (FSI) resulting in intraplaque stress and low/oscillatory wall-shear stress patterns play a crucial role in diagnosing the severity of AS. However, the adoption of these factors remains limited in current clinical practice. There is an unmet medical need to enable noninvasive and accurate quantification of FSI quantities for AS in clinical settings. Addressing this need holds the promise of tailoring surgical strategies for AS, optimizing outcomes, and mitigating risk. We propose addressing this medical need as a research direction for a Gilbreth Fellow. The Gilbreth Fellow will advance the state-of-the-art FSI modeling and simulation for real-world applications using advanced computation, fundamental mechanics, and benchtop experiments. Specifically, Prof. Christov has developed the fundamental theory and reduced-order computational tools for flow in deformable conduits, while Prof. Yu has developed image-based and GPU-accelerated computational hemodynamics techniques for translational medical research in human vessels. We seek to advance these directions, leveraging the Gilbreth Fellowship support and associated funded projects to pursue groundbreaking research at the intersection of engineering and medicine.
Start Date
Flexible, May 2025 or after
Postdoc Qualifications
The postdoctoral researcher should have a degree in Mechanical Engineering, Biomedical Engineering, Computational Engineering, or equivalent. This background can be demonstrated by a track record of publications in top disciplinary journals in these fields. Experience with FSI modeling and bench-top fluid dynamics experiments is also preferred. Experience with the lattice Boltzmann method for incompressible flows and/or SimVascular and svFSI, as well as GPU parallel computations, is a plus.
Co-advisors
Ivan C. Christov, Associate Professor, School of Mechanical Engineering, Purdue University, https://engineering.purdue.edu/ME/People/ptProfile?resource_id=134738
Huidan (Whitney) Yu, Professor of Mechanical Engineering, Purdue University in Indianapolis, https://engineering.purdue.edu/ME/People/ptProfile?resource_id=294620
Bibliography
2. S. D. Pande, X. Wang, I. C. Christov, “Oscillatory flows in compliant conduits at arbitrary Womersley number,” Physical Review Fluids 8 (2023) 124102, doi:10.1103/PhysRevFluids.8.124102; preprint arXiv:2304.00543.
3. T. C. Shidhore, A. A. Cohen-Gadol, V. L. Rayz, I. C. Christov, “Comparative Assessment of Biomechanical Parameters in Subjects With Multiple Cerebral Aneurysms Using Fluid–Structure Interaction Simulations,” ASME Journal of Biomechanical Engineering 145 (2023) 051003, doi:10.1115/1.4056317; preprint arXiv:2211.07651.
4. H. Yu, M. Khan, H. Wu, X. Du, R. Chen, D. M. Rollins, X. Fang, J. Long, C. Xu, M. Murphy, R. L. Motaganahallie, and A. P. Sawchuk. A new noninvasive and patient-specific hemodynamic index for assessing the severity of renal arterial stenosis, International Journal for Numerical Methods in Biomedical Engineering, 38(7) (2022) e3611. doi:10.1002/cnm.3611.
5. W. Hong, H. Yu, J. Chen, J. Talamantes, D. M. Rollins, X. Fang, J. Long, C. Xu, and A. P. Sawchuk, A Human-sized Mock Circulation Loop for in vitro Hemodynamic Characterization of Vascular Diseases, Fluids, 8 (2023) 198. doi:10.3390/fluids8070198.