MRI-driven evaluation of passive myocardial stiffness
Abstract/Contents
- Abstract
- Altered myocardial mechanical behavior is a component of maladaptive cardiac remodeling implicated in the etiology of heart failure. However, the specific underlying mechanisms and the extent to which the changes contribute to the progression of heart failure are poorly understood. Biophysical modeling of the heart has opened up significant possibilities for thoroughly investigating cardiac mechanics and could be a useful tool for further elucidating the mechanisms of cardiac dysfunction associated with heart failure. This thesis focuses on using a magnetic resonance imaging (MRI) approach combined with finite element modeling (FEM) to evaluate passive myocardial stiffness. This thesis contributes to the field in two specific ways: validating MRI-based passive myocardial stiffness estimation and using in vivo MRI to characterize healthy passive cardiac mechanics. In order to validate an approach to passive myocardial stiffness estimation that combines MRI and FEM, we developed an experimental setup which incorporates synthetic heart phantoms with realistic cardiac geometry, as well as tunable heart-like stiffness and MRI relaxation properties. Using the setup, we evaluated the degree of accuracy with which an MRI and FEM-based framework could identify the stiffness of heart phantoms of varying geometry and stiffness. Comparison of the simulated results to ground-truth stiffness values obtained independently through benchtop tensile testing, revealed errors that ranged from 1% to 6% across all models, thereby demonstrating the feasibility of highly accurate passive myocardial material stiffness estimation using MRI and FEM. Regarding characterizing healthy passive cardiac mechanics using in vivo MRI, we established a tractable pipeline for developing personalized cardiac computational mechanics models. The pipeline combines MRI methods capable of estimating high-resolution cardiac geometry, in vivo microstructure, dynamic motion and local deformation kinematics over the cardiac cycle. The in vivo passive myocardial stiffness estimation method was tested in healthy subjects in order to establish normal reference values for passive myocardial stiffness. Furthermore, we evaluated the sensitivity of passive mechanics to microstructural configuration. This kind of personalized biomechanical modeling, when extended to patients with heart failure, can provide new insights regarding the remodeling occurring in the disease. Such estimates of passive myocardial stiffness could help inform diagnosis and improve management of patients with a failing heart.
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 | 2023; ©2023 |
| Publication date | 2023; 2023 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Kolawole, Oluwafikunwa |
|---|---|
| Degree supervisor | Ennis, Daniel B |
| Degree supervisor | Kuhl, Ellen, 1971- |
| Thesis advisor | Ennis, Daniel B |
| Thesis advisor | Kuhl, Ellen, 1971- |
| Thesis advisor | Levenston, Marc Elliot |
| Degree committee member | Levenston, Marc Elliot |
| Associated with | Stanford University, School of Engineering |
| Associated with | Stanford University, Department of Mechanical Engineering |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Fikunwa Kolawole. |
|---|---|
| Note | Submitted to the Department of Mechanical Engineering. |
| Thesis | Thesis Ph.D. Stanford University 2023. |
| Location | https://purl.stanford.edu/yx041md3271 |
Access conditions
- Copyright
- © 2023 by Oluwafikunwa Kolawole
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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