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Measuring the Ocular Morphological Parameters of Guinea Pig Eye with Edge Detection and Curve Fitting
Computational and Mathematical Methods in Medicine Pub Date : 2020-12-19 , DOI: 10.1155/2020/6689023
Yue Di 1 , Ying Huang 1 , Ya-Jing Yang 2 , Xing-Tao Zhou 3 , Wen-Ting Luo 1 , Hai-Yun Ye 1 , Zhong-Bao Qiao 1 , Na Lu 4 , Tong Qiao 1
Affiliation  

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.

中文翻译:

利用边缘检测和曲线拟合测量豚鼠眼睛的眼部形态参数

目的。利用边缘检测和曲线拟合对豚鼠眼球进行识别,设计一种非接触式测量小型实验动物眼部形态参数的技术。方法。对39只豚鼠眼球进行拍摄,获得前后表面;眼球被取出后的横切面和矢状面。接下来,将眼球照片输入数字图像分析软件;通过比例尺获取对应的照片像素与实际长度的比值。通过边缘检测技术识别眼球轮廓线;应用圆锥曲线拟合来拟合眼球的轮廓线。根据以下公式计算最大和最小直径、水平和垂直直径、偏心率、倾斜角、横截面积、赤道周长、球后赤道最大长度、中央区域角膜曲率半径(CRC)和整个角膜几何原理。将体外研究的角膜数据与体内结果进行比较。结果。通过边缘检测正确识别了所选豚鼠眼睛的轮廓线。一只眼球前后表面的最大直径、偏心距、横截面积、赤道周长和倾斜角均无显着差异()。中央区域和整个角膜的偏心度和CRC存在显着差异)。体内角膜曲率计与体外角膜没有显着差异。结论。以非接触方式测量实验动物眼睛是可行的。边缘检测和曲线拟合技术可以准确评估眼部形态参数。
更新日期:2020-12-20
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