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Anup_Pant_Dissertation_Ohio_Link.pdf (85.19 MB)

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A Computational Approach to Study Iris Biomechanics

Pant, Anup Dev
http://rave.ohiolink.edu/etdc/view?acc_num=akron154238673115656

Abstract Details

, Doctor of Philosophy, University of Akron, Biomedical Engineering.
Glaucoma is a leading cause of irreversible blindness worldwide, affecting more than 3 million people in the USA and 63 million worldwide. Currently, no permanent treatment for glaucoma exists, and the only strategy is to manage the disease once it has been diagnosed. One of the challenging aspects of glaucoma is that patients may not show any symptoms until the disease has reached a severe stage. Therefore, early detection and management of glaucoma is of great importance. Recent studies have identified a number of risk factors for angle-closure glaucoma, a common form of glaucoma, that are closely related to the dynamic changes in the anterior eye (e.g., pupil dilation). In addition, the mechanical properties of the iris have also been shown to have pronounced effects on the pathophysiology of angle-closure glaucoma. One of the key treatment strategies of angle-closure glaucoma is laser peripheral iridotomy (LPI). In this procedure, a laser is used to generate holes in the iris to correct the abnormal anterior configuration of the iris. However, studies have shown that LPI does not always provide the expected results. As such, to better manage angle-closure glaucoma, it is important to understand the dynamic behavior of the eye, quantify the mechanical properties of the iris, and explore the potential factors affecting the outcomes of LPI procedure. In this study, we developed techniques to quantity the dynamic behavior of the anterior eye. We further used finite element simulations to estimate the in vivo mechanical properties of the iris. Finally, we examined the outcomes of LPI procedure using a parametric study. We hope that our studies will provide more insights into the pathophysiology of angle-closure glaucoma that will aid in the identification of new risk factors for early detection and inform the design of better treatment strategies for this mysterious disease.
Rouzbeh Amini, Dr. (Advisor)
Brian L. Davis, Dr. (Committee Member)
Marnie M. Saunders, Dr. (Committee Member)
Francis Loth, Dr. (Committee Member)
Malena Espanol, Dr. (Committee Member)
Biomedical Engineering

Recommended Citations

Citations

  • Pant, A. D. (2018). A Computational Approach to Study Iris Biomechanics [Doctoral dissertation, University of Akron]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=akron154238673115656

    APA Style (7th edition)

  • Pant, Anup. A Computational Approach to Study Iris Biomechanics. 2018. University of Akron, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=akron154238673115656.

    MLA Style (8th edition)

  • Pant, Anup. "A Computational Approach to Study Iris Biomechanics." Doctoral dissertation, University of Akron, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=akron154238673115656

    Chicago Manual of Style (17th edition)

akron154238673115656
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© 2018, all rights reserved.
This open access ETD is published by University of Akron and OhioLINK.