Enhanced video indirect ophthalmoscopy (VIO) via robust mosaicing

被引：24

作者：

Estrada, Rolando ^{[1
]}

Tomasi, Carlo ^{[1
]}

Cabrera, Michelle T. ^{[2
]}

Wallace, David K. ^{[2
]}

Freedman, Sharon F. ^{[2
]}

Farsiu, Sina ^{[2
,3
]}

机构：

[1] Duke Univ, Dept Comp Sci, Durham, NC 27708 USA

[2] Duke Univ, Dept Ophthalmol, Durham, NC 27708 USA

[3] Duke Univ, Dept Biomed Engn, Durham, NC 27708 USA

来源：

BIOMEDICAL OPTICS EXPRESS | 2011年 / 2卷 / 10期

关键词：

IMAGE REGISTRATION; PLUS DISEASE; FOCUS MEASURE; VESSEL SEGMENTATION; PREMATURITY; RETINOPATHY; WAVELET; SUPERRESOLUTION; INTERPOLATION; STATISTICS;

D O I：

10.1364/BOE.2.002871

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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. (C) 2011 Optical Society of America

引用

页码：2871 / 2887

页数：17

共 52 条

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