Modeling, localization, and segmentation of the foveal avascular zone on retinal OCT-angiography images

Carmona, Enrique J., Díaz, Macarena, Novo, Jorge y Ortega, Marcos . (2020) Modeling, localization, and segmentation of the foveal avascular zone on retinal OCT-angiography images. IEEE Access, 8, 152223-152238, 2020

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Título Modeling, localization, and segmentation of the foveal avascular zone on retinal OCT-angiography images
Autor(es) Carmona, Enrique J.
Díaz, Macarena
Novo, Jorge
Ortega, Marcos
Materia(s) Informática
Ingeniería Informática
Abstract The Foveal Avascular Zone (FAZ) is a capillary-free area that is placed inside the macula and its morphology and size represent important biomarkers to detect different ocular pathologies such as diabetic retinopathy, impaired vision or retinal vein occlusion. Therefore, an adequate and precise segmentation of the FAZ presents a high clinical interest. About to this, Angiography by Optical Coherence Tomography (OCT-A) is a non-invasive imaging technique that allows the expert to visualize the vascular and avascular foveal zone. In this work, we present a robust methodology composed of three stages to model, localize, and segment the FAZ in OCT-A images. The first stage is addressed to generate two FAZ normality models: superficial and deep plexus. The second one uses the FAZ model as a template to localize the FAZ center. Finally, in the third stage, an adaptive binarization is proposed to segment the entire FAZ region. A method based on this methodology was implemented and validated in two OCT-A image subsets, presenting the second subset more challenging pathological conditions than the first. We obtained localization success rates of 100% and 96% in the first and second subsets, respectively, considering a success if the obtained FAZ center is inside the FAZ area segmented by an expert clinician. Complementary, the Dice score and other indexes (Jaccard index and Hausdorff distance) are used to measure the segmentation quality, obtaining competitive average values in the first subset: 0.84 ± 0.01 (expert 1) and 0.85 ± 0.01 (expert 2). The average Dice score obtained in the second subset was also acceptable (0.70 ± 0.17), even though the segmentation process is more complex in this case.
Palabras clave Foveal avascular zone
OCT-angiography
modeling
localization
segmentation
Editor(es) IEEE
Fecha 2020-08-17
Formato application/pdf
Identificador bibliuned:95-Ejcarmona-0003
http://e-spacio.uned.es/fez/view/bibliuned:95-Ejcarmona-0003
DOI - identifier https://doi.org/10.1109/ACCESS.2020.3017440
ISSN - identifier 2169-3536
Nombre de la revista IEEE Access
Número de Volumen 8
Página inicial 152223
Página final 152238
Publicado en la Revista IEEE Access, 8, 152223-152238, 2020
Idioma eng
Versión de la publicación publishedVersion
Tipo de recurso Article
Derechos de acceso y licencia http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
Tipo de acceso Acceso abierto
Notas adicionales The registered version of this article, first published in "IEEE Access, 8, 152223-152238, 2020", is available online at the publisher's website: IEEE, https://doi.org/10.1109/ACCESS.2020.3017440
Notas adicionales La versión registrada de este artículo, publicada por primera vez en "IEEE Access, 8, 152223-152238, 2020", está disponible en línea en el sitio web del editor: IEEE, https://doi.org/10.1109/ACCESS.2020.3017440

 
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Creado: Tue, 09 Apr 2024, 17:47:09 CET