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Optical Coherence Tomography Denoising by Means of a Fourier Butterworth Filter-Based Approach
dc.contributor.author | Samagaio, Gabriela | |
dc.contributor.author | Moura, Joaquim de | |
dc.contributor.author | Novo Buján, Jorge | |
dc.contributor.author | Ortega Hortas, Marcos | |
dc.date.accessioned | 2024-06-10T11:38:16Z | |
dc.date.available | 2024-06-10T11:38:16Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Samagaio, G., de Moura, J., Novo, J., Ortega, M. (2017). Optical Coherence Tomography Denoising by Means of a Fourier Butterworth Filter-Based Approach. In: Battiato, S., Gallo, G., Schettini, R., Stanco, F. (eds) Image Analysis and Processing - ICIAP 2017. Lecture Notes in Computer Science, vol. 10485. Springer, Cham. https://doi.org/10.1007/978-3-319-68548-9_39 | es_ES |
dc.identifier.isbn | 9783319685472 | |
dc.identifier.uri | http://hdl.handle.net/2183/36850 | |
dc.description | 19th International Conference on Image Analysis and Processing, ICIAP 2017, Catania 11 September 2017 - 15 September 2017 | es_ES |
dc.description | This version of the article has been accepted for publication, after peer review and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect postacceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-3-319-68548-9_39 | es_ES |
dc.description.abstract | [Abstract]: Optical Coherence Tomography (OCT) is affected by ubiquitous speckle noise that difficult the visualization and analysis of the retinal structures. Any denoising strategy should be able to remove efficiently the noise as well as preserves clinical information contained in the images. This information is crucial to analyses the retinal layer tissue that allows the posterior analysis and recognition of relevant diseases as macular edema or diabetic retinopathy. To address this issue, a method based on the Fourier Butterworth filter combined with a contrast enhancement and a histogram regularization was developed in order to reduce the speckle noise in OCT retinal images. The proposed method was validated using 45 OCT retinal images organized into 3 groups of noise degree, comparing the results with the performance of representative methods of the state-of-the-art. The validation and comparison were made through three quantitative metrics: Signal-to-Noise Ratio (SNR), Contrast-to-Noise Ratio (CNR) and average Effective Number of Looks (ENL). The experimental results showed that the proposed method offered satisfactory results, outperforming the results of the other methods by the achievement of a SNR of 7.04 dB and a CNR of 14.08 dB better than the second best filter, respectively, for the whole group of OCT retinal images. | es_ES |
dc.description.sponsorship | This work is supported by the Instituto de Salud Carlos III, Government of Spain and FEDER funds of the European Union through the PI14/02161 and the DTS15/00153 research projects and by the Ministerio de Economía y Com-petitividad, Government of Spain through the DPI2015-69948-R research project. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Springer | 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 | 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.ispartofseries | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 10485 | es_ES |
dc.relation.uri | https://doi.org/10.1007/978-3-319-68548-9_39 | es_ES |
dc.rights | © 2017 Springer International Publishing AG | es_ES |
dc.subject | Denoising | es_ES |
dc.subject | Fourier Butterworth filter | es_ES |
dc.subject | Optical Coherence Tomography | es_ES |
dc.subject | Retinal imaging | es_ES |
dc.subject | Speckle noise | es_ES |
dc.title | Optical Coherence Tomography Denoising by Means of a Fourier Butterworth Filter-Based Approach | es_ES |
dc.type | info:eu-repo/semantics/bookPart | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.journalTitle | Image Analysis and Processing | es_ES |
UDC.startPage | 422 | es_ES |
UDC.endPage | 432 | es_ES |
dc.identifier.doi | 10.1007/978-3-319-68548-9_39 | |
UDC.conferenceTitle | ICIAP 2017 | es_ES |