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Corneal thickness measurement by secondary speckle tracking and image processing using machine-learning algorithms

机译：使用机器学习算法通过二次斑点跟踪和图像处理来测量角膜厚度

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摘要

Corneal thickness (CoT) is an important tool in the evaluation process for several disorders and in the assessment of intraocular pressure. We present a method enabling high-precision measurement of CoT based on secondary speckle tracking and processing of the information by machine-learning (ML) algorithms. The proposed configuration includes capturing by fast camera the laser beam speckle patterns backscattered from the corneal–scleral border, followed by ML processing of the image. The technique was tested on a series of phantoms having different thicknesses as well as in clinical trials on human eyes. The results show high accuracy in determination of eye CoT, and implementation is speedy in comparison with other known measurement methods.

机译：角膜厚度（CoT）是评估几种疾病的方法以及评估眼内压的重要工具。我们提出了一种基于次级斑点跟踪和基于机器学习（ML）算法对信息进行处理的CoT高精度测量方法。提议的配置包括通过快速相机捕获从角膜-巩膜边界向后散射的激光束斑点图案，然后对图像进行ML处理。该技术已在一系列具有不同厚度的体模上进行了测试，并在人眼上进行了临床试验。结果表明确定眼睛CoT的准确性很高，并且与其他已知的测量方法相比，实现速度很快。

著录项

期刊名称 Journal of Biomedical Optics
作者
Aviya Bennett; Elnatan Davidovitch; Yafim Beiderman; Sergey Agadarov; Yevgeny Beiderman; Avital Moshkovitz; Uri Polat; Zeev Zalevsky;
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作者单位

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年(卷),期 2019(24),12
年度 2019
页码 -1
总页数 11
原文格式 PDF
正文语种
中图分类放射医学;影像诊断学;生化遗传学;生化药理学;
关键词
secondary speckle patterns; machine learning; lasers; optics; imaging; corneal thickness;

机译：二次斑纹;机器学习;激光;光学;成像;角膜厚度;

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专利

1. Corneal thickness measurement by secondary speckle tracking and image processing using machine-learning algorithms [J] . Aviya Bennett, Elnatan Davidovitch, Yafim Beiderman, Journal of biomedical optics . 2019,第12期

机译：使用机器学习算法通过二次斑点跟踪和图像处理来测量角膜厚度
2. Measurements of Corneal Thickness in Eyes with Pseudoexfoliation Syndrome: Comparative Study of Different Image Processing Protocols [J] . Krysik Katarzyna, Dobrowolski Dariusz, Polanowska Katarzyna, Journal of healthcare engineering. . 2017,第1期

机译：假性剥脱综合症眼角膜厚度的测量：不同图像处理协议的比较研究
3. Measurements of Corneal Thickness in Eyes with Pseudoexfoliation Syndrome: Comparative Study of Different Image Processing Protocols [J] . Katarzyna Krysik, Dariusz Dobrowolski, Katarzyna Polanowska, Journal of healthcare engineering. . 2017,第1期

机译：伪萃取综合征在眼中的角膜厚度测量：不同图像处理方案的比较研究
4. An Improved Algorithm of Image Processing Technique for Film Thickness Measurement in a Horizontal Stratified Gas-liquid Two-phase Flow [C] . Hadiyan Yusuf Kuntoro, Akhmad Zidni Hudaya, Okto Dinaryanto, AUN/SEED-Net Regional Conference on Energy Engineering . 2016

机译：一种改进的水平分层气液两相流膜厚度测量的图像处理技术算法
5. Digital speckle photography technique utilizing particle tracking algorithm for the measurement of strain. [D] . Fakhoury, Omar. 2005

机译：利用斑点跟踪算法测量应变的数字散斑摄影技术。
6. Measurements of Corneal Thickness in Eyes with Pseudoexfoliation Syndrome: Comparative Study of Different Image Processing Protocols [O] . Katarzyna Krysik, Dariusz Dobrowolski, Katarzyna Polanowska, 2017

机译：假性剥脱综合症眼角膜厚度的测量：不同图像处理协议的比较研究
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Corneal thickness measurement by secondary speckle tracking and image processing using machine-learning algorithms

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