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Literature DB >> 22091442

Enhanced video indirect ophthalmoscopy (VIO) via robust mosaicing.

Rolando Estrada, Carlo Tomasi, Michelle T Cabrera, David K Wallace, Sharon F Freedman, Sina Farsiu.

Abstract

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.

Entities: Chemical Disease Gene Species

Keywords: (100.0100) Image processing; (100.2960) Image analysis; (170.4470) Ophthalmology

Year: 2011 PMID： 22091442 PMCID： PMC3191451 DOI： 10.1364/BOE.2.002871

Source DB: PubMed Journal: Biomed Opt Express ISSN： 2156-7085 Impact factor: 3.732

20 in total

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20 in total

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2. Exploratory Dijkstra forest based automatic vessel segmentation: applications in video indirect ophthalmoscopy (VIO).

Authors: Rolando Estrada; Carlo Tomasi; Michelle T Cabrera; David K Wallace; Sharon F Freedman; Sina Farsiu
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Journal: Biomed Opt Express Date: 2017-01-17 Impact factor: 3.732

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