Impact of retinal image quality: software aid for a low-cost device and effects on disease detection

Peter Soliz; Gilberto Zamora; Jeremy Benson; Sheila Nemeth; John Maynard; Simon Barriga; Jeffrey Wigdahl

doi:10.1117/12.2510125

28 February 2019 Impact of retinal image quality: software aid for a low-cost device and effects on disease detection

Peter Soliz, Gilberto Zamora, Jeremy Benson, Sheila Nemeth, John Maynard, Simon Barriga, Jeffrey Wigdahl

Proceedings Volume 10858, Ophthalmic Technologies XXIX; 1085829 (2019) https://doi.org/10.1117/12.2510125
Event: SPIE BiOS, 2019, San Francisco, California, United States

Abstract

Adequate image quality is a necessary component to any retinal screening program whether the cases are to be read by a human reader or processed by an artificial intelligence system (AI). The need for expanded screening for retinal diseases has led to the adoption of low-cost, portable cameras that are ideal for reaching large underserved populations. However, the low-cost cameras generally require a higher level of operator skill to produce high quality images in comparison with more expensive table-top retinal cameras. This study, conducted at thirteen clinics in Monterrey, Mexico, compares unreadable rates between a table-top retinal camera (Canon CR2-AF) and a low-cost portable camera (Volk Pictor Plus) before and after implementation of automatic image quality assessment software, Image Quality Analyzer (IQA). The software determines if an image is of adequate quality to be read by a human or AI system; what the image quality issues are; and tips for fixing the issues. The process is performed in real time. Results show a significant decrease in unreadable cases (9% to 0%) for the Pictor Plus after IQA implementation bringing the percent of rejected cases in line with the table-top camera (3% to 5%).

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Peter Soliz, Gilberto Zamora, Jeremy Benson, Sheila Nemeth, John Maynard, Simon Barriga, and Jeffrey Wigdahl "Impact of retinal image quality: software aid for a low-cost device and effects on disease detection ", Proc. SPIE 10858, Ophthalmic Technologies XXIX, 1085829 (28 February 2019); https://doi.org/10.1117/12.2510125

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