Di, Yue and Huang, Ying and Yang, Ya-jing and Zhou, Xing-Tao and Luo, Wen-ting and Ye, Hai-yun and Qiao, Zhong-bao and Lu, Na and Qiao, Tong and Juhola, Martti (2020) Measuring the Ocular Morphological Parameters of Guinea Pig Eye with Edge Detection and Curve Fitting. Computational and Mathematical Methods in Medicine, 2020. pp. 1-13. ISSN 1748-670X
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Abstract
Aim. To identify the guinea pig eyeball with edge detection and curve fitting and devise a noncontact technology of measuring ocular morphological parameters of small experimental animal. Methods. Thirty-nine eyeballs of guinea pig eyeballs were photographed to obtain the anterior and posterior surface; transverse and sagittal planes after the eyeballs were eviscerated. Next, the eyeball photos were input into digital image analysis software; the corresponding photo pixels-actual length ratio was acquired by a proportional scale. The contour lines of the eyeballs were identified by edge detection technology; conic curve fitting was applied to fit the contour line of the eyeball. The maximum and minimum diameters, the horizontal and vertical diameters, eccentricity, tilt angle, cross-sectional area, equatorial circumference, retrobulbar equatorial maximum length, corneal radius of curvature (CRC) in central region, and the whole cornea were calculated according to the geometric principles. The corneal data of in vitro study were compared with the in vivo results. Results. The contour line of the selected guinea pig eye was identified correctly by edge detection. There were no significant differences between anterior and posterior surfaces of one eyeball in the maximum diameters, eccentricity, cross-sectional area, equatorial circumference, and tilt angle (). There were significant differences of eccentricity and CRC between central region and the whole cornea (). There were no significant differences between keratometer in vivo and cornea in vitro. Conclusion. It was feasible to measure an experimental animal eye in a noncontact way. Edge detection and curve fitting technology could accurately evaluate the ocular morphological parameters.
Item Type: | Article |
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Subjects: | EP Archives > Medical Science |
Depositing User: | Managing Editor |
Date Deposited: | 24 Jan 2023 05:15 |
Last Modified: | 16 Mar 2024 04:39 |
URI: | http://research.send4journal.com/id/eprint/755 |