Diagnosis of keratoconus using novel elevation mapping technique from smartphone image

Kamrul H. Foysal; Tanjemoon Ankur

doi:10.1117/12.2663310

21 June 2023 Diagnosis of keratoconus using novel elevation mapping technique from smartphone image

Kamrul H. Foysal, Tanjemoon Ankur

Proceedings Volume 12526, Multimodal Image Exploitation and Learning 2023 ; 125260H (2023) https://doi.org/10.1117/12.2663310
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

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Abstract

Keratoconus is a progressive eye disease prevalent worldwide. Keratoconus is caused by the change in curvature of the eyeball. An unevenly shaped lens causes blurry and inaccurate vision in the patient, which eventually may cause blindness. The existing keratoconus detection techniques use a less accurate keratoscope and bulky, expensive topography imaging (OCT) device, which causes inconvenience in diagnosing this disease in a remote and scarce setup. In this paper, I propose a novel smartphone-based keratoconus diagnosis technique that uses a smartphone camera to acquire a 2D image of the cornea with Placido disc reflection, and process different image processing techniques including entropy-based edge detection, multiple circles detections, finally calculating 3D topography of the eye in an app. The existing inconvenient methods of keratoconus detection can be replaced by our proposed method, which is accurate, quick, reliable, and simple for usage by clinicians and patients in remote settings.

Citation Download Citation

Kamrul H. Foysal and Tanjemoon Ankur "Diagnosis of keratoconus using novel elevation mapping technique from smartphone image", Proc. SPIE 12526, Multimodal Image Exploitation and Learning 2023 , 125260H (21 June 2023); https://doi.org/10.1117/12.2663310

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