Validation of a Novel MATLAB Axial Length Measurement Model
Research type
Research Study
Full title
Validation of a Novel MATLAB Axial Length Measurement Model
IRAS ID
335952
Contact name
Hannah Levis
Contact email
Sponsor organisation
University of Liverpool
Duration of Study in the UK
2 years, 0 months, 1 days
Research summary
Axial length (AL) is the distance between the front surface of the eye to the back surface on the retina. There are a lot of factors that can influence the growth of the eye throughout life, and changes in axial length can be a major contributing factor for a number of eye-realted conditions (Gordon and Donzis, 1985, Hussain et al, 2023). Short-sightedness and cataracts are common conditions that use AL measurements to contribute to the planning of medical treatment strategies (Mutti et al, 2005, Tadros et al, 2016).
There is currently a range of medical equipment capable of obtaining AL measurements using an array of both contact and non-contact techniques (Hessler et al. 2023, Yu et al, 2023). However, little is known regarding the potential use of light ray tracing for these applications. Light ray tracing uses mathematical equations to simulate the path that light takes when it is refracted through different objects of varying transparency. These calculations will be used to simulate the path of light entering the eye until it meets the back surface.
We will therefore seek to recruit cataract patients and healthy individuals to validate a light ray tracing method for AL calculation, and validate this against the Aladdin biometer, which is a device used to measure AL within clinic.
REC name
West of Scotland REC 4
REC reference
24/WS/0105
Date of REC Opinion
24 Sep 2024
REC opinion
Further Information Favourable Opinion