Literature DB >> 23538061

Automated analysis of binocular alignment using an infrared camera and selective wavelength filter.

Hee Kyung Yang1, Jong-Mo Seo, Jeong-Min Hwang, Kwang Gi Kim.   

Abstract

PURPOSE: We present a computerized method of measuring binocular alignment using a selective wavelength filter and an infrared camera, and validate the efficacy of automated image analysis compared to the gold standard prism and alternate cover test (PCT).
METHODS: A prospective observational pilot study was performed on 30 subjects with intermittent exotropia, 30 subjects with esotropia, and 30 orthotropic subjects who were able to cooperate with the PCT. Two independent ophthalmologists examined the angle of deviation using the PCT. Full-face images were obtained with an infrared camera while a selective wavelength filter was placed in front of either eye. Images were analyzed using the 3D Strabismus Photo Analyzer. Interobserver variability, test-retest reliability and correlation between the angles of deviation were determined for both methods.
RESULTS: The 95% limit of agreement of interobserver variability was ± 4.8 prism diopters (PD) for the PCT and ± 4.3 PD for the selective wavelength filter analysis. The 95% limit of agreement of test-retest reliability between the PCT and selective wavelength filter analysis was ± 8.5 PD. Results of the PCT and selective wavelength filter analysis showed a strong positive correlation (R = 0.900, P < 0.001).
CONCLUSIONS: Infrared images acquired with a selective wavelength filter can detect the latent components of strabismus, and automated image analysis showed excellent agreement with the standard PCT. This automated method is an accurate and reliable tool for measuring ocular deviation with minimal observer dependency.

Entities:  

Mesh:

Year:  2013        PMID: 23538061     DOI: 10.1167/iovs.12-11400

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  5 in total

1.  A quantitative analysis method for comitant exotropia using video-oculography with alternate cover.

Authors:  Nohae Park; Byunggun Park; Minkyung Oh; Sunghyuk Moon; Myungmi Kim
Journal:  BMC Ophthalmol       Date:  2018-03-22       Impact factor: 2.209

2.  Morphometry of the Oculomotor Nerve in Duane's Retraction Syndrome.

Authors:  Min Seok Kang; Hee Kyung Yang; Jounghan Kim; Jae Hyoung Kim; Jeong-Min Hwang
Journal:  J Clin Med       Date:  2020-06-24       Impact factor: 4.241

3.  Detection of Referable Horizontal Strabismus in Children's Primary Gaze Photographs Using Deep Learning.

Authors:  Ce Zheng; Qian Yao; Jiewei Lu; Xiaolin Xie; Shibin Lin; Zilei Wang; Siyin Wang; Zhun Fan; Tong Qiao
Journal:  Transl Vis Sci Technol       Date:  2021-01-27       Impact factor: 3.283

4.  An artificial intelligence platform for the diagnosis and surgical planning of strabismus using corneal light-reflection photos.

Authors:  Keli Mao; Yahan Yang; Chong Guo; Yi Zhu; Chuan Chen; Jingchang Chen; Li Liu; Lifei Chen; Zijun Mo; Bingsen Lin; Xinliang Zhang; Sijin Li; Xiaoming Lin; Haotian Lin
Journal:  Ann Transl Med       Date:  2021-03

5.  Automated alternate cover test for 'HINTS' assessment: a validation study.

Authors:  Miranda Morrison; Hassen Kerkeni; Athanasia Korda; Simone Räss; Marco D Caversaccio; Mathias Abegg; Erich Schneider; Georgios Mantokoudis
Journal:  Eur Arch Otorhinolaryngol       Date:  2021-07-23       Impact factor: 3.236

  5 in total

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