Automatic segmentation of the foveal avascular zone in ophthalmological OCT-A images

PloS One
Macarena DíazMarcos Ortega

Abstract

Angiography by Optical Coherence Tomography (OCT-A) is a non-invasive retinal imaging modality of recent appearance that allows the visualization of the vascular structure at predefined depths based on the detection of the blood movement through the retinal vasculature. In this way, OCT-A images constitute a suitable scenario to analyze the retinal vascular properties of regions of interest as is the case of the macular area, measuring the characteristics of the foveal vascular and avascular zones. Extracted parameters of this region can be used as prognostic factors that determine if the patient suffers from certain pathologies (such as diabetic retinopathy or retinal vein occlusion, among others), indicating the associated pathological degree. The manual extraction of these biomedical parameters is a long, tedious and subjective process, introducing a significant intra and inter-expert variability, which penalizes the utility of the measurements. In addition, the absence of tools that automatically facilitate these calculations encourages the creation of computer-aided diagnosis frameworks that ease the doctor's work, increasing their productivity and making viable the use of this type of vascular biomarkers. In this work we ...Continue Reading

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Jun 18, 2017·Medical & Biological Engineering & Computing·Joaquim de MouraMarcos Ortega

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Citations

Nov 10, 2020·Medical Image Analysis·Lei MouJiang Liu
Feb 26, 2021·Computer Methods and Programs in Biomedicine·UNKNOWN INSPIRED project
Jul 30, 2021·Frontiers in Neuroscience·Ane Murueta-GoyenaIñigo Gabilondo
Aug 31, 2021·Journal of Imaging·Vasudevan LakshminarayananJanarthanam Jothi Balaji
Feb 19, 2020··Vasudevan LakshminarayananJothi J. Balaji

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Software Mentioned

OCTAGON
OCT

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