Publicación: Evolutionary mosaicking for high-resolution wide-field optical coherence tomography angiography
Fecha
2025-04-23
Autores
Martínez Río, Javier
Cancelas, Daniel
Jorge Novo, Jorge
Ortega, Marcos
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Derechos de acceso
info:eu-repo/semantics/openAccess
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Resumen
Optical coherence tomography angiography (OCTA) is a noninvasive imaging modality that produces retinal blood flow images. However, the limited field of view (FOV) of typical high-resolution scan poses challenges for comprehensive analysis. This work presents a fully automatic method for generating high-resolution wide-field OCTA mosaics from overlapping scans, addressing the need for wider FOVs without requiring advanced OCTA equipment or manual mosaicking. The proposed approach consists of a three-stage pipeline: an initial mosaic is constructed using correlation-based template matching, refined with an evolutionary algorithm to optimize vascular continuity at seams, and finalized with a blending stage to improve overall quality. Unlike existing methods, our approach avoids keypoint extraction or input image preprocessing, making it robust against noise and artifacts typically present in clinical OCTA images. Using a correlation-based metric that measures the degree of vascular continuity at the seams in each mosaic, we obtained a mean and standard deviation equal to
(before blending) for all the mosaics analyzed. The proposed method presented robust results, producing high-resolution wide-field OCTA mosaics.
Descripción
The registered version of this article, first published in “Applied Soft Computing, vol. 176, 2025", is available online at the publisher's website: Elsevier, https://doi.org/10.1016/j.asoc.2025.113145
La versión registrada de este artículo, publicado por primera vez en “Applied Soft Computing, vol. 176, 2025", está disponible en línea en el sitio web del editor: Elsevier, https://doi.org/10.1016/j.asoc.2025.113145
Categorías UNESCO
Palabras clave
wide-field OCTA, retinal mosaicking, multi-image registration, template matching, differential evolution, alpha blending
Citación
Javier Martínez-Río, Enrique J. Carmona, Daniel Cancelas, Jorge Novo, Marcos Ortega. Evolutionary mosaicking for high-resolution wide-field optical coherence tomography angiography. Applied Soft Computing, 113145, 2025. DOI: https://doi.org/10.1016/j.asoc.2025.113145
Centro
E.T.S. de Ingeniería Informática
Departamento
Inteligencia Artificial