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基于泽尼克多项式重建兔眼Pentacam角膜地形图的局限性

Limitations of Reconstructing Pentacam Rabbit Corneal Tomography by Zernike Polynomials.

作者信息

Baraya Mohamed, Moore Jessica, Lopes Bernardo T, Wu Richard, Bao FangJun, Zheng XiaoBo, Consejo Alejandra, Abass Ahmed

机构信息

Department of Production Engineering and Mechanical Design, Faculty of Engineering, Port Said University, Port Said 42526, Egypt.

Department of Civil Engineering and Industrial Design, School of Engineering, University of Liverpool, Liverpool L69 3GH, UK.

出版信息

Bioengineering (Basel). 2022 Dec 28;10(1):39. doi: 10.3390/bioengineering10010039.

Abstract

The study aims to investigate the likelihood of Zernike polynomial being used for reconstructing rabbit corneal surfaces as scanned by the Pentacam segment tomographer, and hence evaluate the accuracy of corneal power maps calculated from such Zernike fitted surfaces. The study utilised a data set of both eyes of 21 rabbits using a reverse engineering approach for deductive reasoning. Pentacam raw elevation data were fitted to Zernike polynomials of orders 2 to 20. The surface fitting process to Zernike polynomials was carried out using randomly selected 80% of the corneal surface data points, and the root means squared fitting error (RMS) was determined for the other 20% of the surface data following the Pareto principle. The process was carried out for both the anterior and posterior surfaces of the corneal surfaces that were measured via Pentacam scans. Raw elevation data and the fitted corneal surfaces were then used to determine corneal axial and tangential curvature maps. For reconstructed surfaces calculated using the Zernike fitted surfaces, the mean and standard deviation of the error incurred by the fitting were calculated. For power maps computed using the raw elevation data, different levels of discrete cosine transform (DCT) smoothing were employed to infer the smoothing level utilised by the Pentacam device. The RMS error was not significantly improved for Zernike polynomial orders above 12 and 10 when fitting the anterior and posterior surfaces of the cornea, respectively. This was noted by the statistically non-significant increase in accuracy when the order was increased beyond these values. The corneal curvature calculations suggest that a smoothing process is employed in the corneal curvature maps outputted by the Pentacam device; however, the exact smoothing method is unknown. Additionally, the results suggest that fitting corneal surfaces to high-order Zernike polynomials will incur a clinical error in the calculation of axial and tangential corneal curvature of at least 0.16 ± 01 D and 0.36 ± 0.02 D, respectively. Rabbit corneal anterior and posterior surfaces scanned via the Pentacam were optimally fitted to orders 12 and 10 Zernike polynomials. This is essential to get stable values of high-order aberrations that are not affected by Zernike polynomial fittings, such as comas for Intracorneal Ring Segments (ICRS) adjustments or spherical aberration for pre-cataract operations. Smoothing was necessary to replicate the corneal curvature maps outputted by the Pentacam tomographer, and fitting corneal surfaces to Zernike polynomials introduces errors in the calculation of both the axial and tangential corneal curvatures.

摘要

本研究旨在调查泽尼克多项式用于重建经Pentacam眼前节断层扫描仪扫描的兔眼角膜表面的可能性,从而评估根据此类泽尼克拟合表面计算得到的角膜屈光力地图的准确性。本研究采用逆向工程方法进行演绎推理,利用了21只兔子双眼的数据集。将Pentacam原始高度数据拟合到2至20阶的泽尼克多项式。使用随机选择的80%的角膜表面数据点对泽尼克多项式进行表面拟合过程,并根据帕累托原则确定另外20%表面数据的均方根拟合误差(RMS)。对通过Pentacam扫描测量的角膜表面的前表面和后表面均进行该过程。然后使用原始高度数据和拟合的角膜表面来确定角膜轴向和切向曲率地图。对于使用泽尼克拟合表面计算得到的重建表面,计算拟合产生的误差的平均值和标准差。对于使用原始高度数据计算的屈光力地图,采用不同水平的离散余弦变换(DCT)平滑来推断Pentacam设备使用的平滑水平。在拟合角膜前表面和后表面时,泽尼克多项式阶数分别高于12和10时,RMS误差没有显著改善。当阶数增加超过这些值时,准确性的增加在统计学上不显著,由此可见这一点。角膜曲率计算表明,Pentacam设备输出的角膜曲率地图采用了平滑过程;然而,确切的平滑方法尚不清楚。此外,结果表明,将角膜表面拟合到高阶泽尼克多项式在计算轴向和切向角膜曲率时将分别产生至少0.16±0.01 D和0.36±0.02 D的临床误差。经Pentacam扫描的兔眼角膜前表面和后表面最佳拟合为12阶和10阶泽尼克多项式。这对于获得不受泽尼克多项式拟合影响的高阶像差的稳定值至关重要,例如用于角膜内环片(ICRS)调整的彗差或白内障手术前的球差。进行平滑对于复制Pentacam断层扫描仪输出的角膜曲率地图是必要的,并且将角膜表面拟合到泽尼克多项式会在轴向和切向角膜曲率的计算中引入误差。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef8f/9854916/06662ebbaf7b/bioengineering-10-00039-g001.jpg

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