Abstract
The human lens provides one-third of the ocular focussing power and is responsible for
altering focus over a range of distances. This ability, termed accommodation, defines
the process by which the lens changes its shape, in response to the movement of ciliary
body, to adjust the refractive power. The accommodative ability gradually decreases
with age such that around the fifth to sixth decades of life it is lost rendering the eye
unable to focus on near objects. Current technologies are unable to effectively restore
the requisite optical powers and accommodative ability of a presbyopic eye as the
mechanism of accommodation is not fully understood. Plausible explanations, which
are contradicted to each other, require definitive supports. Nevertheless, experimental
evidences are difficult to obtain from living eye.
Computational modelling serves as an alternative solution for the understanding of the
physiological process of accommodation. An accurate and detailed model can closely
simulate the in vivo behaviour of the eye lens. To date, the relevance of available
models to the physiology needs to be further explored. The accuracy of any
computational model highly depends on the input parameters. To build up a complete
lens model one needs to seek resources from different studies and to assemble
parameters of lenses from different subjects, which bring great challenges to this
research field.
The present work utilizes the Finite Element Analysis as the fundamental approach for
investigating the mechanical and optical performances of lens models built at various
ages based on input parameters from both in vivo and in vitro studies. The contributions
of different ocular parameters to the accommodative loss are investigated i.e. the lens
geometries, material properties, capsular thickness, capsular elasticity, zonular angles.
Relations between two seemingly contradicting accommodative theories are
demonstrated and possible explanations for the presbyopia are proposed.
| Original language | English |
|---|---|
| Qualification | Doctor of Philosophy (PhD) |
| Awarding Institution |
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| Supervisors/Advisors |
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| Publication status | Accepted/In press - May 2017 |
| Externally published | Yes |
Bibliographical note
Physical Location: Online and in stock at Kingston University LibraryKeywords
- Pre-clinical and human biological sciences
PhD type
- Standard route