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
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author Estrada, Rolando
Tomasi, Carlo
Cabrera, Michelle T.
Wallace, David K.
Freedman, Sharon F.
Farsiu, Sina
author_facet Estrada, Rolando
Tomasi, Carlo
Cabrera, Michelle T.
Wallace, David K.
Freedman, Sharon F.
Farsiu, Sina
author_sort Estrada, Rolando
collection PubMed
description 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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spelling pubmed-31914512011-11-16 Enhanced video indirect ophthalmoscopy (VIO) via robust mosaicing Estrada, Rolando Tomasi, Carlo Cabrera, Michelle T. Wallace, David K. Freedman, Sharon F. Farsiu, Sina Biomed Opt Express Ophthalmology Applications 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. Optical Society of America 2011-09-29 /pmc/articles/PMC3191451/ /pubmed/22091442 http://dx.doi.org/10.1364/BOE.2.002871 Text en © 2011 optical society of america http://creativecommons.org/licenses/by-nc-nd/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 Unported License, which permits download and redistribution, provided that the original work is properly cited. This license restricts the article from being modified or used commercially.
spellingShingle Ophthalmology Applications
Estrada, Rolando
Tomasi, Carlo
Cabrera, Michelle T.
Wallace, David K.
Freedman, Sharon F.
Farsiu, Sina
Enhanced video indirect ophthalmoscopy (VIO) via robust mosaicing
title Enhanced video indirect ophthalmoscopy (VIO) via robust mosaicing
title_full Enhanced video indirect ophthalmoscopy (VIO) via robust mosaicing
title_fullStr Enhanced video indirect ophthalmoscopy (VIO) via robust mosaicing
title_full_unstemmed Enhanced video indirect ophthalmoscopy (VIO) via robust mosaicing
title_short Enhanced video indirect ophthalmoscopy (VIO) via robust mosaicing
title_sort enhanced video indirect ophthalmoscopy (vio) via robust mosaicing
topic Ophthalmology Applications
url 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
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