2018/03/02 by Álvaro S. Hervella, Hervella, Álvaro S., José Rouco +5
Computer Science · Medicine · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques #Retinal Imaging and Analysis #Retinal and Optic Conditions #cs.CV
paper · pdf · doi:10.48550/arxiv.1803.00951
openalex publication_date 2018/03/02 · arxiv created 2018/04/02 · arxiv updated 2018/04/04 · openalex created_date 2022/10/04 · openalex updated_date 2026/07/28
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.