Virtual treatment planning and numerical fluid-structure interaction methods for congenital heart disease
Abstract/Contents
- Abstract
- Despite profound medical advances, congenital heart defects (CHD) remain a leading cause of birth defect-associated infant illness and death in the United States. As gold-standard interventions continue to be met with troubling complications, there is a pressing need to quantitatively model, assess, and predict the performance of medical devices and procedures. Cardiovascular hemodynamic modeling requires consideration of fluid-structure interaction (FSI), a multiphysics phenomenon giving rise to the propagation of pressure and flow waves. Dichotomous solid and fluid formulations have conventionally been employed to couple a deformable structural problem to a fluid problem posed on a domain moving in accordance with the deforming structure. These dichotomies, which become readily apparent in the incompressible limit, were recently bridged in a unified continuum formulation for FSI. In this work, we first demonstrated the predictive capability of a virtual treatment planning platform for patients of two CHD populations with peripheral pulmonary artery stenosis. We then improved upon existing finite element solver technologies in aspects including spatiotemporal discretization, structural dynamics, preconditioner design, and the use of higher-order elements. Derived from the unified continuum model with assumptions invoked for vascular FSI, our novel reduced unified continuum formulation achieves computational efficiency on the same order as rigid-walled computational fluid dynamics simulations and demonstrates notable agreement with analytical solutions in a benchmark verification. It additionally achieves higher-order accuracy for quantities of clinical interest and exhibits enhanced linear solver robustness compared to alternative preconditioners. We further developed practical modeling techniques, including vascular wall prestressing and in-plane wall motion at model inlets and outlets. To assess performance in settings of practical clinical interest, we validated our numerical methods against 4D-flow MRI scans of a compliant 3D-printed vascular phantom embedded in an in vitro flow circuit. The improved spatiotemporal accuracy, computational efficiency, and solver robustness of our validated suite of FSI techniques may prove critical to a future in which patient-specific modeling of cardiovascular disease becomes routine across preventive care, diagnostic care, and treatment planning.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2022; ©2022 |
| Publication date | 2022; 2022 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Lan, Ingrid Sheu |
|---|---|
| Degree supervisor | Marsden, Alison (Alison Leslie), 1976- |
| Thesis advisor | Marsden, Alison (Alison Leslie), 1976- |
| Thesis advisor | Feinstein, Jeffrey A |
| Thesis advisor | Iaccarino, Gianluca |
| Degree committee member | Feinstein, Jeffrey A |
| Degree committee member | Iaccarino, Gianluca |
| Associated with | Stanford University, Department of Bioengineering |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Ingrid S. Lan. |
|---|---|
| Note | Submitted to the Department of Bioengineering. |
| Thesis | Thesis Ph.D. Stanford University 2022. |
| Location | https://purl.stanford.edu/jc092my0592 |
Access conditions
- Copyright
- © 2022 by Ingrid Sheu Lan
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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