Robust multimodal registration of fluorescein angiography and optical coherence tomography angiography images using evolutionary algorithms

Martínez Río, Javier, Carmona, Enrique J., Cancelas, Daniel, Novo, Jorge y Ortega, Marcos . (2021) Robust multimodal registration of fluorescein angiography and optical coherence tomography angiography images using evolutionary algorithms. Computers in Biology and Medicine, Volume 134, 2021, 104529

Ficheros (Some files may be inaccessible until you login with your e-spacio credentials)
Nombre Descripción Tipo MIME Size
Carmona_Suarez_Enrique_MULTIMODAL_REGISTRATION.pdf Carmona_Suarez_Enrique_MULTIMODAL_REGISTRATION.pdf application/pdf 16.25MB

Título Robust multimodal registration of fluorescein angiography and optical coherence tomography angiography images using evolutionary algorithms
Autor(es) Martínez Río, Javier
Carmona, Enrique J.
Cancelas, Daniel
Novo, Jorge
Ortega, Marcos
Materia(s) Informática
Ingeniería Informática
Abstract Optical coherence tomography angiography (OCTA) and fluorescein angiography (FA) are two different vascular imaging modalities widely used in clinical practice to diagnose and grade different relevant retinal pathologies. Although each of them has its advantages and disadvantages, the joint analysis of the images produced by both techniques to analyze a specific area of the retina is of increasing interest, given that they provide common and complementary visual information. However, in order to facilitate this analysis task, a previous registration of the pair of FA and OCTA images is desirable in order to superimpose their common areas and focus the gaze on the regions of interest. Normally, this task is manually carried out by the expert clinician, but it turns out to be tedious and time-consuming. Here, we present a three-stage methodology for robust multimodal registration of FA and superficial plexus OCTA images. The first one is a preprocessing stage devoted to reducing the noise and segmenting the main vessels in both types of images. The second stage uses the vessel information to do an approximate registration based on template matching. Lastly, the third stage uses an evolutionary algorithm based on differential evolution to refine the previous registration and obtain the optimal registration. The method was evaluated in a dataset with 172 pairs of FA and OCTA images, obtaining a success rate of 98.8%. The best mean execution time of the method was less than 5 s per image.
Palabras clave Multimodal image registration
OCT-Angiography
Fluorescein angiography
Differential evolution
Template matching
Editor(es) Elsevier
Fecha 2021-07
Formato application/pdf
Identificador bibliuned:95-Ejcarmona-0002
http://e-spacio.uned.es/fez/view/bibliuned:95--Ejcarmona-0002
DOI - identifier https://doi.org/10.1016/j.compbiomed.2021.104529
ISSN - identifier 0010-4825
Nombre de la revista Computers in Biology and Medicine
Número de Volumen 134
Publicado en la Revista Computers in Biology and Medicine, Volume 134, 2021, 104529
Idioma eng
Versión de la publicación publishedVersion
Tipo de recurso Article
Derechos de acceso y licencia http://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
Tipo de acceso Acceso abierto
Notas adicionales The registered version of this article, first published in "Computers in Biology and Medicine, Volume 134, 2021, 104529", is available online at the publisher's website: Elsevier, https://doi.org/10.1016/j.compbiomed.2021.104529
Notas adicionales La versión registrada de este artículo, publicada por primera vez en "Computers in Biology and Medicine, Volume 134, 2021, 104529", está disponible en línea en el sitio web del editor: Elsevier, https://doi.org/10.1016/j.compbiomed.2021.104529

 
Versiones
Versión Tipo de filtro
Contador de citas: Google Scholar Search Google Scholar
Estadísticas de acceso: 32 Visitas, 3 Descargas  -  Estadísticas en detalle
Creado: Mon, 08 Apr 2024, 22:28:27 CET