Abstract:
Digital fundus images are normally used for screening of retina to detect different diseases
but fundus images do not provide detailed imagery of retinal layers. Optical Coherence
Tomography (OCT) Imaging is a modern technique for taking cross sectional images with a
very high resolution. OCT is just like ultrasound. The difference lies in method of imaging.
Sound is used in ultra sound imaging whereas light is used when taking OCT images. This
project deals with the analysis of OCT images and provides a prototype for detection of
different retinal diseases using OCT images. The implemented system removes noise from
input OCT image and extracts out all layers using different gradient and distance based
operators. The project consists of a user interface to help the ophthalmologists in analysis of
OCT and generates a report showing widths of all layers. The implemented system is tested
on different OCT images gathered from armed forces institute of ophthalmology (AFIO).
