Abstract
Differential artery-vein analysis promises better sensitivity for retinal disease detection and classification. However, clinical optical coherence tomography angiography (OCTA) instruments lack the function of artery-vein differentiation. This study aims to verify the feasibility of using OCT intensity feature analysis to guide artery-vein differentiation in OCTA. Four OCT intensity profile features, including i) ratio of vessel width to central reflex, ii) average of maximum profile brightness, iii) average of median profile intensity, and iv) optical density of vessel boundary intensity compared to background intensity, are used to classify artery-vein source nodes in OCT. A blood vessel tracking algorithm is then employed to automatically generate the OCT artery-vein map. Given the fact that OCT and OCTA are intrinsically reconstructed from the same raw spectrogram, the OCT artery-vein map is able to guide artery-vein differentiation in OCTA directly.
Highlights
Clinical diagnosis and prompt medical intervention are essential for preventing vision loss due to eye diseases
Venous loops, venous beading [1,2,3,4], and arterial narrowing [5,6,7] have been reported in diabetic retinopathy (DR) and sickle cell retinopathy (SCR) patients
This study, approved by the Institutional Review Board of the University of Illinois at Chicago (UIC) and in compliance with the tenets of the Declaration of Helsinki, used 100 optical coherence tomography (OCT)/OCT angiography (OCTA) images captured from 50 subjects at the UIC Retina clinic
Summary
Clinical diagnosis and prompt medical intervention are essential for preventing vision loss due to eye diseases. It is known that many eye diseases can target arteries and veins differently. Differential artery-vein analysis promises better sensitivity for disease detection and staging classification. Artery-vein ratio of blood vessel caliber, for example, has been reported as a predictor of eye conditions [8,9,10,11,12]. A number of algorithms have been proposed to explore automated artery-vein differentiation in fundus photography [13,14,15,16,17,18,19,20,21,22]. Microvascular anomalies that occur early on in these ocular diseases cannot be reliably identified in traditional fundus photography [24,25,26]
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