Hervella, Álvaro S.Rouco, JoséNovo Buján, JorgeOrtega Hortas, Marcos2024-06-262024-06-262018Á. S. Hervella, J. Rouco, J. Novo, y M. Ortega, «Multimodal registration of retinal images using domain-specific landmarks and vessel enhancement», Procedia Computer Science, vol. 126, pp. 97-104, 2018, doi: 10.1016/j.procs.2018.07.213.1877-0509http://hdl.handle.net/2183/37403[Absctract]: The analysis of different image modalities is frequently performed in ophthalmology as it provides complementary information for the diagnosis and follow-up of relevant diseases, like hypertension or diabetes. This work presents a hybrid method for the multimodal registration of color fundus retinography and fluorescein angiography. The proposed method combines a feature-based approach, using domain-specific landmarks, with an intensity-based approach that employs a domain-adapted similarity metric. The methodology is tested on a dataset of 59 image pairs containing both healthy and pathological cases. The results show a satisfactory performance of the proposed combined approach in this multimodal scenario, improving the registration accuracy achieved by the feature-based and the intensity-based approaches.engAtribución-NoComercial-SinDerivadas 3.0 Españahttp://creativecommons.org/licenses/by-nc-nd/3.0/es/Image registrationMultimodalRetinal imagingVascular treeColor fundus retinographyFluorescein angiographyjournal articleopen access