Martinez-Finkelshtein Andrei, Delgado Antonia M, Castro Gracia M, Zarzo Alejandro, Alió Jorge L
Department of Statistics and Applied Mathematics, Almería University, Almería, Spain.
Invest Ophthalmol Vis Sci. 2009 Dec;50(12):5639-45. doi: 10.1167/iovs.08-3351. Epub 2009 Jul 15.
A comparative study of the ability of some modal schemes to reproduce corneal shapes of varying complexity was performed, by using both standard radial polynomials and radial basis functions (RBFs). The hypothesis was that the correct approach in the case of highly irregular corneas should combine several bases.
Standard approaches of reconstruction by Zernike and other types of radial polynomials were compared with the discrete least-squares fit (LSF) by the RBF in three theoretical surfaces, synthetically generated by computer algorithms in the absence of measurement noise. For the reconstruction by polynomials, the maximal radial order 6 was chosen, which corresponds to the first 28 Zernike polynomials or the first 49 Bhatia-Wolf polynomials. The fit with the RBF was performed by using a regular grid of centers.
The quality of fit was assessed by computing for each surface the mean square errors (MSEs) of the reconstruction by LSF, measured at the same nodes where the heights were collected. Another criterion of the fit quality used was the accuracy in recovery of the Zernike coefficients, especially in the case of incomplete data.
The Zernike (and especially, the Bhatia-Wolf) polynomials constitute a reliable reconstruction method of a nonseverely aberrated surface with a small surface regularity index (SRI). However, they fail to capture small deformations of the anterior surface of a synthetic cornea. The most promising approach is a combined one that balances the robustness of the Zernike fit with the localization of the RBF.
通过使用标准径向多项式和径向基函数(RBF),对一些模态方案再现不同复杂程度角膜形状的能力进行了比较研究。假设是在高度不规则角膜的情况下,正确的方法应该结合多个基函数。
在由计算机算法在无测量噪声情况下综合生成的三个理论表面上,将通过泽尼克多项式和其他类型径向多项式进行重建的标准方法与通过RBF进行的离散最小二乘拟合(LSF)进行比较。对于多项式重建,选择最大径向阶数6,这对应于前28个泽尼克多项式或前49个巴蒂亚 - 沃尔夫多项式。通过使用中心的规则网格进行RBF拟合。
通过计算每个表面在收集高度的相同节点处LSF重建的均方误差(MSE)来评估拟合质量。使用的另一个拟合质量标准是泽尼克系数恢复的准确性,特别是在数据不完整的情况下。
泽尼克(尤其是巴蒂亚 - 沃尔夫)多项式构成了一种可靠的重建方法,用于表面规则性指数(SRI)较小的非严重像差表面。然而,它们无法捕捉合成角膜前表面的小变形。最有前途的方法是一种结合方法,它平衡了泽尼克拟合的稳健性和RBF的局部性。