A Visual Distortion Sensing Model for Early Detection of Macular Disorders

This paper presents a novel method to model the deformations that occur in the retina due to macular disorders such as Age-related Macular Degeneration (AMD). In this model, the retinal pigment epithelium (RPE) covered with cones and rods is considered as a uniform layer of known pixels. The projected image on these pixels is perceived as per this model. Furthermore, this model can efficiently be used to generate the test patterns for an accurate and efficient method for monitoring macular disorder. In this proposed model, two major geometric shapes of retinal deformation are taken into account. Both colourful and grayscale images are employed to estimate the perceived images under various circumstances and inputs. Based on these results, the proposed model can be used for the assessment of the progression of macular disorders.Clinical relevance-Retinal Pigment Epithelium (RPE), Field of view (FOV), Visual Distortion (VD).