Skip to Main Content
 

Global Search Box

 
 
 
 

ETD Abstract Container

Abstract Header

Tools for Improved Refractive Surgery: Computational and Experimental Study

Seven, Ibrahim

Abstract Details

2014, Doctor of Engineering, Cleveland State University, Washkewicz College of Engineering.
The cornea is the outermost layer of the human eye where the tissue meets with the external environment. It provides the majority of the eye’s refractive power and is the most important ocular determinant of visual image formation. The refractive power of the cornea derives from its shape, and this shape is a function of the ocular biomechanical properties and loading forces such as the intraocular pressure (IOP). With having the majority of refractive power in the eye, the cornea is the primary tissue of interest for refractive intervention. Globally, the predominant mode of surgical treatment of refractive disorders is photoablation. However, optical power regression over time and under/over correction due to neglected corneal biomechanical properties were still observed following refractive procedures including LASIK, PRK, Astigmatic Keratotomy etc especially at high degree corrections. Also, some evolving procedures such as corneal collagen crosslinking (CXL), a collagen stiffening procedure most commonly performed through UVA photoactivation of riboflavin in the corneal stroma, currently lack surgical guidance for optimizing visual outcomes. Thus, there is a need for methods that explore the patient specific treatment planning strategies for refractive procedures. This work will have a potential impact in translating mechanical principles into corneal surgical planning in order to provide a better guidance and predictive environment to the corneal surgeons. The goals of this thesis are three fold: 1) To develop patient specific models from clinical LASIK cases and to compare the outcomes of these models with clinical outcomes in a patient population. 2) To simulate investigational procedures that utilize CXL. 3) To advance a potential approach to characterize corneal mechanical properties in vivo.
William J. Dupps, Jr., MD, PhD (Committee Chair)
Nolan Holland, PhD (Committee Co-Chair)
Ahmet Erdemir, PhD (Committee Member)
Antonie Van den Bogert, PhD (Committee Member)
Andrew Resnick, PhD (Committee Member)
Abhijit Sinha Roy, PhD (Committee Member)

Recommended Citations

Citations

  • Seven, I. (2014). Tools for Improved Refractive Surgery: Computational and Experimental Study [Doctoral dissertation, Cleveland State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=csu1422136191

    APA Style (7th edition)

  • Seven, Ibrahim. Tools for Improved Refractive Surgery: Computational and Experimental Study. 2014. Cleveland State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=csu1422136191.

    MLA Style (8th edition)

  • Seven, Ibrahim. "Tools for Improved Refractive Surgery: Computational and Experimental Study." Doctoral dissertation, Cleveland State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=csu1422136191

    Chicago Manual of Style (17th edition)