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10.3390/vision3020025
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Review

Recent Advances of Computerized Graphical Methods for the Detection and Progress Assessment of Visual Distortion Caused by Macular Disorders

by
Navid Mohaghegh
,
Ebrahim Ghafar-Zadeh
* and
Sebastian Magierowski
Department of Electrical Engineering and Computer Science (EECS), Lassonde School of Engineering, York University, Toronto, ON M3J 1P3, Canada
*
Author to whom correspondence should be addressed.
Vision 2019, 3(2), 25; https://doi.org/10.3390/vision3020025
Submission received: 17 April 2019 / Accepted: 27 April 2019 / Published: 5 June 2019
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Abstract

Recent advances of computerized graphical methods have received significant attention for detection and home monitoring of various visual distortions caused by macular disorders such as macular edema, central serous chorioretinopathy, and age-related macular degeneration. After a brief review of macular disorders and their conventional diagnostic methods, this paper reviews such graphical interface methods including computerized Amsler Grid, Preferential Hyperacuity Perimeter, and Three-dimensional Computer-automated Threshold Amsler Grid. Thereafter, the challenges of these computerized methods for accurate and rapid detection of macular disorders are discussed. The early detection and progress assessment of macular disorders can significantly enhance the required clinical procedure for the diagnosis and treatment of macular disorders.
Keywords: macular disorders; central serous retinopathy (CSR); graphical macular interface system (GMIS); age-related macular degeneration (AMD) macular disorders; central serous retinopathy (CSR); graphical macular interface system (GMIS); age-related macular degeneration (AMD)

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MDPI and ACS Style

Mohaghegh, N.; Ghafar-Zadeh, E.; Magierowski, S. Recent Advances of Computerized Graphical Methods for the Detection and Progress Assessment of Visual Distortion Caused by Macular Disorders. Vision 2019, 3, 25. https://doi.org/10.3390/vision3020025

AMA Style

Mohaghegh N, Ghafar-Zadeh E, Magierowski S. Recent Advances of Computerized Graphical Methods for the Detection and Progress Assessment of Visual Distortion Caused by Macular Disorders. Vision. 2019; 3(2):25. https://doi.org/10.3390/vision3020025

Chicago/Turabian Style

Mohaghegh, Navid, Ebrahim Ghafar-Zadeh, and Sebastian Magierowski. 2019. "Recent Advances of Computerized Graphical Methods for the Detection and Progress Assessment of Visual Distortion Caused by Macular Disorders" Vision 3, no. 2: 25. https://doi.org/10.3390/vision3020025

APA Style

Mohaghegh, N., Ghafar-Zadeh, E., & Magierowski, S. (2019). Recent Advances of Computerized Graphical Methods for the Detection and Progress Assessment of Visual Distortion Caused by Macular Disorders. Vision, 3(2), 25. https://doi.org/10.3390/vision3020025

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