Measuring the Ocular Morphological Parameters of Guinea Pig Eye with Edge Detection and Curve Fitting

Joint Authors

Huang, Ying
Di, Yue
Yang, Ya-jing
Zhou, Xing-Tao
Luo, Wen-ting
Ye, Hai-yun
Qiao, Zhong-bao
Lu, Na
Qiao, Tong

Source

Computational and Mathematical Methods in Medicine

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-12-19

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Medicine

Abstract EN

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 (P>0.01).

There were significant differences of eccentricity and CRC between central region and the whole cornea (P<0.01).

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.

American Psychological Association (APA)

Di, Yue& Huang, Ying& Yang, Ya-jing& Zhou, Xing-Tao& Luo, Wen-ting& Ye, Hai-yun…[et al.]. 2020. Measuring the Ocular Morphological Parameters of Guinea Pig Eye with Edge Detection and Curve Fitting. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1139523

Modern Language Association (MLA)

Di, Yue…[et al.]. Measuring the Ocular Morphological Parameters of Guinea Pig Eye with Edge Detection and Curve Fitting. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1139523

American Medical Association (AMA)

Di, Yue& Huang, Ying& Yang, Ya-jing& Zhou, Xing-Tao& Luo, Wen-ting& Ye, Hai-yun…[et al.]. Measuring the Ocular Morphological Parameters of Guinea Pig Eye with Edge Detection and Curve Fitting. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1139523

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1139523