Open AccessAutomatic analysis of normative retinal oximetry images
Author(s) -
Harish J R Kumar,
Chandra Sekhar Seelamantula,
Ashwin Mohan,
Rohit Shetty,
Tos T. J. M. Berendschot,
Carroll A.B. Webers
Publication year - 2020
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0231677
Subject(s) - retinal , oxygen saturation , anatomy , medicine , biology , artificial intelligence , ophthalmology , computer science , oxygen , chemistry , organic chemistry
Retinal oximetry is an important screening tool for early detection of retinal pathologies due to changes in the vasculature and also serves as a useful indicator of human-body-wide vascular abnormalities. We present an automatic technique for the measurement of oxygen saturation in retinal arterioles and venules using dual-wavelength retinal oximetry images. The technique is based on segmenting an optic-disc-centered ring-shaped region of interest and subsequent analysis of the oxygen saturation levels. We show that the two dominant peaks in the histogram of the oxygen saturation levels correspond to arteriolar and venular oxygen saturations from which the arterio-venous saturation difference (AVSD) can be calculated. For evaluation, we use a normative database of Asian Indian eyes containing 44 dual-wavelength retinal oximetry images. Validations against expert manual annotations of arterioles and venules show that the proposed technique results in an average arteriolar oxygen saturation ( SatO 2 ) of 87.48%, venular SatO 2 of 57.41%, and AVSD of 30.07% in comparison with the expert ground-truth average arteriolar SatO 2 of 89.41%, venular SatO 2 of 56.32%, and AVSD of 33.09%, respectively. The results exhibit high consistency across the dataset indicating that the automated technique is an accurate alternative to the manual procedure.