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Automatic analysis of normative retinal oximetry images
J R Harish Kumar1,2, Chandra Sekhar Seelamantula1, Ashwin Mohan3
1Department of Electrical Engineering, Indian Institute of Science, Bangalore, India.
Plos One
|May 19, 2020
Summary
This study introduces an automated method for measuring retinal oxygen saturation using dual-wavelength imaging. The technique accurately quantifies arteriolar and venular oxygen levels, aiding in early disease detection.
Area of Science:
- Ophthalmology
- Medical Imaging
- Biomedical Engineering
Background:
- Retinal oximetry is crucial for detecting retinal pathologies and systemic vascular issues.
- Current manual methods for measuring retinal oxygen saturation are time-consuming and subjective.
Purpose of the Study:
- To develop and validate an automated technique for measuring oxygen saturation in retinal arterioles and venules.
- To assess the accuracy of the automated method compared to expert manual annotations.
Main Methods:
- Utilized dual-wavelength retinal oximetry images.
- Implemented an automatic segmentation of an optic-disc-centered ring-shaped region of interest.
- Analyzed oxygen saturation levels by identifying peaks in the histogram corresponding to arterioles and venules.
Main Results:
- The automated technique achieved an average arteriolar SatO2 of 87.48% and venular SatO2 of 57.41%.
- Calculated arterio-venous saturation difference (AVSD) was 30.07%, closely matching expert ground-truth values (AVSD 33.09%).
- Demonstrated high consistency across a normative database of Asian Indian eyes.
Conclusions:
- The proposed automated retinal oximetry technique provides accurate measurements of arteriolar and venular oxygen saturation.
- This automated method offers a reliable and efficient alternative to manual annotation for clinical screening.
- Accurate AVSD calculation aids in the early detection of vascular abnormalities.
