A Novel Method for Detection and Progress Assessment of Visual Distortion Caused by Macular Disorder: A Central Serous Chorioretinopathy (CSR) Case Study.

Navid Mohaghegh, Sebastian Magierowski, Ebrahim Ghafar-Zadeh

Abstract read

In one paragraph

Article in Vision (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

3 authors.

Navid MohagheghBiologically Inspired Sensors and Actuators (BioSA) Laboratory, Department of EECS, York University, Toronto, ON M3J1P3, Canada.

Sebastian MagierowskiBiologically Inspired Sensors and Actuators (BioSA) Laboratory, Department of EECS, York University, Toronto, ON M3J1P3, Canada.

Ebrahim Ghafar-ZadehBiologically Inspired Sensors and Actuators (BioSA) Laboratory, Department of EECS, York University, Toronto, ON M3J1P3, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents a new mathematical model along with a measurement platform for accurate detection and monitoring of various visual distortions (VD) caused by macular disorders such as central serous chorioretinopathy (CSR) and age-related macular degeneration (AMD). This platform projects a series of graphical patterns on the patient's retina and calculates the severity of VDs accordingly. The accuracy of this technique relies on the accurate detection of distorted lines by the patient. We also propose a simple mathematical model to evaluate the VD created by CSR. The model is used as a control for the test results achieved from the proposed platform. The proposed platform consists of the required hardware and software for the generation and projection of patterns along with the collection and processing of patients against their standard optical coherence tomography (OCT) images. Based on these results, the OCT images agree with the VD test results, and the proposed platform can be used as an alternative home monitoring method for various macular disorders.

Indexed as

age-related macular degeneration (AMD)central serous retinopathy (CSR)graphical macular interface system (GTMIS)macular disordersscalable vector graphics (SVG)

Identifiers

PMID31835894

DOI10.3390/vision3040068

PMCPMC6969906

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.