Enhanced video indirect ophthalmoscopy (VIO) via robust mosaicing

Indirect ophthalmoscopy (IO) is the standard of care for evaluation of the neonatal retina. When recorded on video from a head-mounted camera, IO images have low quality and narrow Field of View (FOV). We present an image fusion methodology for converting a video IO recording into a single, high qua...

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Detalles Bibliográficos
Autores principales: Estrada, Rolando, Tomasi, Carlo, Cabrera, Michelle T., Wallace, David K., Freedman, Sharon F., Farsiu, Sina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Optical Society of America 2011
Materias:
Ophthalmology Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3191451/
https://www.ncbi.nlm.nih.gov/pubmed/22091442
http://dx.doi.org/10.1364/BOE.2.002871
Descripción
Sumario:Indirect ophthalmoscopy (IO) is the standard of care for evaluation of the neonatal retina. When recorded on video from a head-mounted camera, IO images have low quality and narrow Field of View (FOV). We present an image fusion methodology for converting a video IO recording into a single, high quality, wide-FOV mosaic that seamlessly blends the best frames in the video. To this end, we have developed fast and robust algorithms for automatic evaluation of video quality, artifact detection and removal, vessel mapping, registration, and multi-frame image fusion. Our experiments show the effectiveness of the proposed methods.

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