Exploring structure-function relationships in knee cartilage and meniscus using medical imaging and soft tissue biomechanics techniques
Abstract/Contents
- Abstract
- Knee cartilage and meniscus have important roles in supporting loading in the knee, and their functional ability to support these loads is in large part due to their structure. Degeneration of these tissues through the process of aging, traumatic injury, and diseases like osteoarthritis can drastically change the structure and function of knee cartilage and meniscus. Because the structure and function of cartilage and meniscus are inherently linked, changes in one impact the other. To evaluate the effects of changes in functional loading of cartilage on its structure, non-invasive medical imaging techniques were used to analyze pre- and post-run scans to look for post-exercise changes in the quantitative magnetic resonance imaging parameter T2 relaxation time to better design future studies monitoring cartilage health. To evaluate the effects of changes in cartilage and meniscus structure on their function, mechanical testing techniques were used to examine the specific use case of the impact of imaging contrast agent solution exposure on meniscus and cartilage structure to develop a road map for designing safer contrast agent solutions. Finally, a combination of function and structural measurements were leveraged to characterize material properties of previously understudied pediatric meniscus specimens. Insights from this line of investigation will inform future studies focused on developing treatments and therapies targeted specifically for pediatric meniscus tissue. The work presented in this thesis advances our scientific understanding of the structure-function relationship of knee cartilage and meniscus and will provide a foundation for research supporting the development of treatments, interventions, and therapies for injury and disease in the knee for people of all ages.
Description
Type of resource | text |
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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 | Crowder, Hollis Ann |
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Degree supervisor | Gold, Garry E |
Degree supervisor | Levenston, Marc Elliot |
Thesis advisor | Gold, Garry E |
Thesis advisor | Levenston, Marc Elliot |
Thesis advisor | Hargreaves, Brian Andrew |
Degree committee member | Hargreaves, Brian Andrew |
Associated with | Stanford University, Department of Mechanical Engineering |
Subjects
Genre | Theses |
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Genre | Text |
Bibliographic information
Statement of responsibility | Hollis Ann Crowder. |
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Note | Submitted to the Department of Mechanical Engineering. |
Thesis | Thesis Ph.D. Stanford University 2022. |
Location | https://purl.stanford.edu/kv918cy3330 |
Access conditions
- Copyright
- © 2022 by Hollis Ann Crowder
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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