Abstract
This paper presents a method for analysing changes in the corneal structure during intraocular pressure measurements using the air-puff method. The research consisted in the analysis of displacements of specific areas of the cornea extracted from a sequence of images obtained from the Corvis ST tonometer. The results obtained allow for real-time tracking of specific areas of the cornea, the displacements of which, according to preliminary studies, are characterized by asymmetry. The parameters proposed in the paper, i.e. the absolute displacement of the examined area (\(|\varDelta n|\)) and the value of its maximum deviation (d), indicate their potential application in the assessment of corneal biomechanics. However, there is a need for further studies involving larger research groups of both healthy subjects and patients with diseased corneas, which will allow for an accurate assessment of the value distribution of the parameters obtained in terms of their clinical usefulness.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Boszczyk, A., et al.: Non-contact tonometry using Corvis ST: analysis of corneal vibrations and their relation with intraocular pressure. J. Opt. Soc. Am. A. 36(4), 28–34 (2019). https://doi.org/1084-7529/19/040B28-07
Boszczyk, A., et al.: Novel method of measuring corneal viscoelasticity using the Corvis ST Tonometer. J. Clin. Med. 11, 261 (2022)
Corrias, G., et al.: Texture analysis imaging ’what a clinical radiologist needs to know’. Eur. J. Radiol. 146, 110055 (2022). https://doi.org/10.1016/j.ejrad.2021.110055
Dash, S., Jena, U.R.: Multi-resolution Laws’ Masks based texture classification. J. Appl. Res. Technol. 15(6), 571–582 (2017). https://doi.org/10.1016/j.jart.2017.07.005
Elham, R., et al.: Keratoconus diagnosis using Corvis ST measured biomechanical parameters. J. Curr. Ophthalmol. 29, 175–181 (2017). https://doi.org/10.1016/j.joco.2017.05.002
Eliasy, A., et al.: Determination of corneal biomechanical behavior in-vivo for healthy eyes using CorVis ST tonometry: stress-strain index. Front. Bioeng. Biotechnol. 7(May), 1–10 (2019). https://doi.org/10.3389/fbioe.2019.00105
Esporcatte, L.P.G., et al.: Biomechanical diagnostics of the cornea. Eye Vis. (London, England). 7, 9 (2020). https://doi.org/10.1186/s40662-020-0174-x
Han, Z., et al.: Air puff induced corneal vibrations: theoretical simulations and clinical observations. J. Refract. Surg. 30(3), 208–213 (2014). https://doi.org/10.3928/1081597X-20140212-02
Jędzierowska, M., et al.: A new method for detecting the outer corneal contour in images from an ultra-fast Scheimpflug camera. Biomed. Eng. Online. 18(1), 115 (2019). https://doi.org/10.1186/s12938-019-0735-1
Kling, S., Hafezi, F.: Corneal biomechanics - a review. Ophthalmic Physiol. Opt. 1–13 (2017). https://doi.org/10.1111/opo.12345
Kling, S., Marcos, S.: Contributing factors to corneal deformation in air puff measurements. Invest. Ophthalmol. Vis. Sci. 54(7), 5078–85 (2013). https://doi.org/10.1167/iovs.13-12509
Koprowski, R.: Image Analysis for Ophthalmological Diagnosis. Springer (2016). https://doi.org/10.1007/978-3-319-29546-6
Koprowski, R., Ambrósio, R.: Quantitative assessment of corneal vibrations during intraocular pressure measurement with the air-puff method in patients with keratoconus. Comput. Biol. Med. 66, 170–178 (2015). https://doi.org/10.1016/j.compbiomed.2015.09.007
Koprowski, R., Wilczyński, S.: corneal vibrations during intraocular pressure measurement with an Air-Puff Method. J. Healthc. Eng. 13 (2018). https://doi.org/10.1155/2018/5705749
Kumar, I., et al.: Wavelet packet texture descriptors based four-class BIRADS breast tissue density classification. Procedia Comput. Sci. 70, 76–84 (2015). https://doi.org/10.1016/j.procs.2015.10.042
Ortiz, D., et al.: Corneal biomechanical properties in normal, post-laser in situ keratomileusis, and keratoconic eyes. J. Cataract Refract. Surg. 33(8), 1371–1375 (2007). https://doi.org/10.1016/j.jcrs.2007.04.021
Qin, X., et al.: Evaluation of corneal elastic modulus based on Corneal Visualization Scheimpflug Technology. Biomed. Eng. Online. 1–16 (2019). https://doi.org/10.1186/s12938-019-0662-1
Shin, Y.G., et al.: Histogram and gray level co-occurrence matrix on gray-scale ultrasound images for diagnosing lymphocytic thyroiditis. Comput. Biol. Med. 75, 257–266 (2016). https://doi.org/10.1016/j.compbiomed.2016.06.014
Vinciguerra, R., et al.: Detection of Keratoconus with a new biomechanical index. J. Refract. Surg. 32(12), 803–810 (2016). https://doi.org/10.3928/1081597X-20160629-01
Yazdi, A.A., et al.: Characterization of non-linear mechanical behavior of the cornea. Sci. Rep. 10, 11549 (2020). https://doi.org/10.1038/s41598-020-68391-7
Zhang, D., et al.: Exploring the biomechanical properties of the human cornea in vivo based on Corvis ST. Front. Bioeng. Biotechnol. 9(November), 1–10 (2021). https://doi.org/10.3389/fbioe.2021.771763
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Jędzierowska, M., Koprowski, R., Wilczyński, S. (2022). Analysis of Changes in Corneal Structure During Intraocular Pressure Measurement by Air-Puff Method. In: Pietka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technology in Biomedicine. ITIB 2022. Advances in Intelligent Systems and Computing, vol 1429. Springer, Cham. https://doi.org/10.1007/978-3-031-09135-3_14
Download citation
DOI: https://doi.org/10.1007/978-3-031-09135-3_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-09134-6
Online ISBN: 978-3-031-09135-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)