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

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dc.contributor.authorMartínez Río, Javier
dc.contributor.authorCarmona, Enrique J.
dc.contributor.authorCancelas, Daniel
dc.contributor.authorNovo, Jorge
dc.contributor.authorOrtega, Marcos
dc.date.accessioned2024-08-21T12:13:35Z
dc.date.available2024-08-21T12:13:35Z
dc.date.issued2021-07
dc.description.abstractOptical 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.en
dc.description.versionversión publicada
dc.identifier.doihttps://doi.org/10.1016/j.compbiomed.2021.104529
dc.identifier.issn0010-4825
dc.identifier.urihttps://hdl.handle.net/20.500.14468/23294
dc.journal.titleComputers in Biology and Medicine
dc.journal.volume134
dc.language.isoen
dc.publisherElsevier
dc.relation.centerFacultades y escuelas::E.T.S. de Ingeniería Informática
dc.relation.departmentInteligencia Artificial
dc.rightsAtribución-NoComercial-SinDerivadas 4.0 Internacional
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subject.keywordsMultimodal image registration
dc.subject.keywordsOCT-Angiography
dc.subject.keywordsFluorescein angiography
dc.subject.keywordsDifferential evolution
dc.subject.keywordsTemplate matching
dc.titleRobust multimodal registration of fluorescein angiography and optical coherence tomography angiography images using evolutionary algorithmses
dc.typeartículoes
dc.typejournal articleen
dspace.entity.typePublication
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