Corneal Topography

Using a smartphone's camera to build a mass screening device to generate the corneal topography through which corneal diseases can be screened out.

Team:

Guruswamy Revana Navya Tatikonda

Sabari Prabaaker

Sahithi Kasaraneni

Vivek Kiran

Mentors:

Dr. Pravin Krishna Vaddavalli

Ashish Jain

Chinmae Gorla

Koteswara Rao

Suril Mehta

My Role:

Software Developer (Image Processing)

Deliverables:

A functional hardware prototype with software integration.

Time Period:

June 2017 [7 Days - Full time]

@ Engineering the Eye 2017 - By L.V. Prasad Eye Institute & MIT Media Lab

Background

Corneal Topography can be used to detect astigmatism, corneal diseases such as Keratoconus - a progressive, non-inflammatory corneal disorder resulting in impaired vision, which can be caused by overexposure to UV rays from the sun, excessive eye rubbing, etc., and is very common in children of age 14-18 years. The medical device which is used to screen corneal topography at eye hospital would cost ~ 20,00,000 INR (~30000 USD).

Vision

Using a smartphone's camera to build a mass screening device to generate the corneal topography (mapping the surface curvature of the cornea, the outer structure of the eye) through which corneal diseases can be screened out. This can be used for initial screening at remote villages and at primary health centers by workers who don't need much technical expertise.

Proposed Solution

A mobile application which the ground-level workers can easily use to get a clear picture of the eye, which can be processed to find the possibility of corneal disease. As the device is aimed to solve the initial screening at villages, the image processing algorithm is focused on reducing the false-positive cases rather than 100% perfection which the medical devices deliver.