Mostrar o rexistro simple do ítem
Robust segmentation of retinal layers in optical coherence tomography images based on a multistage active contour model
dc.contributor.author | González-López, Ana | |
dc.contributor.author | Moura, Joaquim de | |
dc.contributor.author | Novo Buján, Jorge | |
dc.contributor.author | Ortega Hortas, Marcos | |
dc.contributor.author | Penedo, Manuel | |
dc.date.accessioned | 2024-06-06T16:14:08Z | |
dc.date.available | 2024-06-06T16:14:08Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | González-López, A., de Moura, J., Novo, J., Ortega, M., & Penedo, M. G. (2019). Robust segmentation of retinal layers in optical coherence tomography images based on a multistage active contour model. Heliyon, 5(2). https://doi.org/10.1016/j.heliyon.2019.e01271 | es_ES |
dc.identifier.issn | 2405-8440 | |
dc.identifier.uri | http://hdl.handle.net/2183/36831 | |
dc.description.abstract | [Abstract]: Optical Coherence Tomography (OCT) constitutes an imaging technique that is increasing its popularity in the ophthalmology field, since it offers a more complete set of information about the main retinal structures. Hence, it offers detailed information about the eye fundus morphology, allowing the identification of many intraretinal pathological signs. For that reason, over the recent years, Computer-Aided Diagnosis (CAD) systems have spread to work with this image modality and analyze its information. A crucial step for the analysis of the retinal tissues implies the identification and delimitation of the different retinal layers. In this context, we present in this work a fully automatic method for the identification of the main retinal layers that delimits the retinal region. Thus, an active contour-based model was completely adapted and optimized to segment these main retinal boundaries. This fully automatic method uses the information of the horizontal placement of these retinal layers and their relative location over the analyzed images to restrict the search space, considering the presence of shadows that are normally generated by pathological or non-pathological artifacts. The validation process was done using the groundtruth of an expert ophthalmologist analyzing healthy as well as unhealthy patients with different degrees of diabetic retinopathy (without macular edema, with macular edema and with lesions in the photoreceptor layers). Quantitative results are in line with the state of the art of this domain, providing accurate segmentations of the retinal layers even when significative pathological alterations are present in the eye fundus. Therefore, the proposed method is robust enough to be used in complex environments, making it feasible for the ophthalmologists in their routine clinical practice. | es_ES |
dc.description.sponsorship | This work was supported by the Instituto de Salud Carlos III, Government of Spain and FEDER funds of the European Union (PI14/02161 and DTS15/00153), the Ministerio de Economía y Competitividad, Government of Spain (DPI2015-69948-R), the Xunta de Galicia, Centro singular de investigacíon de Galicia accreditation 2016–2019 (ED431G/01), and Grupos de Referencia Competitiva (ED431C 2016-047). | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431G/01 | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431C 2016-047 | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/PI14%2F02161/ES/DESARROLLO DE UN SISTEMA AUTOMÁTICO PARA EL CÁLCULO Y VISUALIZACIÓN DE PROPIEDADES ANATÓMICAS DE LA RETINA EN SD-OCT Y SU CORRELACIÓN CON ANÁLISIS FUNCIONALES HETEROGÉNEOS DE LA VISIÓN | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DTS15%2F00153/ES/SIRIUS - Sistema de análisis de microcirculación retiniana: evaluación multidisciplinar e integración en protocolos clínicos | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2015-69948-R/ES/IDENTIFICACION Y CARACTERIZACION DEL EDEMA MACULAR DIABETICO MEDIANTE ANALISIS AUTOMATICO DE TOMOGRAFIAS DE COHERENCIA OPTICA Y TECNICAS DE APRENDIZAJE MAQUINA | es_ES |
dc.relation.uri | https://doi.org/10.1016/j.heliyon.2019.e01271 | es_ES |
dc.rights | Atribución-NoComercial-SinDerivadas 4.0 Internacional | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.subject | Computer science | es_ES |
dc.subject | Medical imaging | es_ES |
dc.subject | Ophthalmology | es_ES |
dc.title | Robust segmentation of retinal layers in optical coherence tomography images based on a multistage active contour model | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.journalTitle | Heliyon | es_ES |
UDC.volume | 5 | es_ES |
UDC.issue | 2 | es_ES |
UDC.startPage | 1 | es_ES |
UDC.endPage | 34 | es_ES |
dc.identifier.doi | 10.1016/j.heliyon.2019.e01271 |
Ficheiros no ítem
Este ítem aparece na(s) seguinte(s) colección(s)
-
GI-VARPA - Artigos [76]