TY - JOUR
T1 - Corneal thickness measurement by secondary speckle tracking and image processing using machine-learning algorithms
AU - Bennett, Aviya
AU - Davidovitch, Elnatan
AU - Beiderman, Yafim
AU - Agadarov, Sergey
AU - Beiderman, Yevgeny
AU - Moshkovitz, Avital
AU - Polat, Uri
AU - Zalevsky, Zeev
N1 - Publisher Copyright:
© The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
PY - 2019/12/1
Y1 - 2019/12/1
N2 - 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.
AB - 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.
KW - corneal thickness
KW - imaging
KW - lasers
KW - machine learning
KW - optics
KW - secondary speckle patterns
UR - http://www.scopus.com/inward/record.url?scp=85076060068&partnerID=8YFLogxK
U2 - 10.1117/1.JBO.24.12.126001
DO - 10.1117/1.JBO.24.12.126001
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C2 - 31797646
AN - SCOPUS:85076060068
SN - 1083-3668
VL - 24
JO - Journal of Biomedical Optics
JF - Journal of Biomedical Optics
IS - 12
M1 - 126001
ER -