Effect of optical coherence tomography and angiography sampling rate towards diabetic retinopathy severity classification

Timothy T Yu; Da Ma; Julian Lo; Myeong Jin Ju; Mirza Faisal Beg; Marinko V Sarunic

doi:10.1364/BOE.431992

Effect of optical coherence tomography and angiography sampling rate towards diabetic retinopathy severity classification

Biomed Opt Express. 2021 Oct 1;12(10):6660-6673. doi: 10.1364/BOE.431992.

Authors

Timothy T Yu¹, Da Ma¹, Julian Lo¹, Myeong Jin Ju^{2

3}, Mirza Faisal Beg¹, Marinko V Sarunic¹

Affiliations

¹ Engineering Science, Simon Fraser University, Burnaby BC V5A1S6, Canada.
² Dept. of Ophthalmology and Visual Sciences, University of British Columbia, Vancouver, BC, V5Z 3N9, Canada.
³ School of Biomedical Engineering, University of British Columbia, Vancouver, BC, V5Z 3N9, Canada.

Abstract

Optical coherence tomography (OCT) and OCT angiography (OCT-A) may benefit the screening of diabetic retinopathy (DR). This study investigated the effect of laterally subsampling OCT/OCT-A en face scans by up to a factor of 8 when using deep neural networks for automated referable DR classification. There was no significant difference in the classification performance across all evaluation metrics when subsampling up to a factor of 3, and only minimal differences up to a factor of 8. Our findings suggest that OCT/OCT-A can reduce the number of samples (and hence the acquisition time) for a volume for a given field of view on the retina that is acquired for rDR classification.