Investigative Ophthalmology & Visual Science Cover Image for Volume 59, Issue 9
July 2018
Volume 59, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2018
The Virtual Eye - the basis of in silico treatments
Author Affiliations & Notes
  • Simon Dörsam
    Department of Applied Mathematics , University Heidelberg, Heidelberg, Germany
  • Vladislav Olkhovskiy
    Department of Applied Mathematics , University Heidelberg, Heidelberg, Germany
  • Judith Stein
    Department of Applied Mathematics , University Heidelberg, Heidelberg, Germany
  • Patrick Zirjacks
    Department of Applied Mathematics , University Heidelberg, Heidelberg, Germany
  • Gerd Auffarth
    Department of Ophthalmology, University Heidelberg, Heidelberg, Germany
  • Elfriede Friedmann
    Department of Applied Mathematics , University Heidelberg, Heidelberg, Germany
  • Footnotes
    Commercial Relationships   Simon Dörsam, None; Vladislav Olkhovskiy, None; Judith Stein, None; Patrick Zirjacks, None; Gerd Auffarth, None; Elfriede Friedmann, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science July 2018, Vol.59, 5285. doi:
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      Simon Dörsam, Vladislav Olkhovskiy, Judith Stein, Patrick Zirjacks, Gerd Auffarth, Elfriede Friedmann; The Virtual Eye - the basis of in silico treatments. Invest. Ophthalmol. Vis. Sci. 2018;59(9):5285.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : Many studies of medical processes in the eye are based on experiments which are performed on human autopsy eyes or animal eyes in the laboratory. As an alternative computer simulations can provide a better understanding of the physiological processes in the eye. Therefore, we develop a visualization tool for a realistic virtual eye in three dimensions. The virtual eye with its components is represented through mathematical models are calibrated with clinical data.

Methods : For this purpose, a set of clinical data is generated and for the mathematical models suitable functions are used which are determined through parameter estimation methods. For the input data we combining imaging techniques from clinical investigations (US, MRT or OCT) and data from the literature. For the vitreous, we produced about five hundred measurement data per patient. There were 12 patients who were between twenty and sixty years old.

Results : Our virtual eye presents each component of the eye in a realistic way. It can be used for orientation in the organ and for local assignment of the physiological processes. In particular, our developed tool allows us to visualize the otherwise invisible meshwork of collagen fibers.

Conclusions : This tool is used to visualize and analyze computer simulations of physiological processes such as the medical treatment of retinal diseases.

This is an abstract that was submitted for the 2018 ARVO Annual Meeting, held in Honolulu, Hawaii, April 29 - May 3, 2018.

 

The components of the virtual eye and the view of the collagen network.

The components of the virtual eye and the view of the collagen network.

 

Drug distribution in the vitreous after an invitreal injection.

Drug distribution in the vitreous after an invitreal injection.

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