For Effective, Earlier and Simplified Diagnosis of Retinopathy of Prematurity (RoP), a Probe through Digital Image Processing Algorithm in B-Scan

Abstract

Eyes are the most vital sensory organ, which stimulates light and helps us to visualize the colorful world around us. Its internal structure is extremely minute and complex with various layers and chambers present. Retina and its layers, is the most important part of an eye that helps in viewing the objects. In certain ailments, if retina gets affected, the vision becomes challenging and may even lead to permanent blindness. One of such vision threatening diseases, affecting the infants is Retinopathy of Prematurity (RoP). Here, various latest, authentic methodologies and tools used for the diagnosis and management of RoP are reviewed and a novel algorithm has been proposed to measure the percentage deviation of retinal health with respect to prior ultrasonic B scan image. Also, to classify the level or stage of RoP based on the location and severity noticed in the ultrasonic B scan images. The proposed architecture and design would be effective and simplified and enable the Ophthalmologists for earlier and accurate diagnosis of RoP in infants.