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一种用于恢复角膜形状的新型低阶方法。

A novel low-order method for recovery of the corneal shape.

作者信息

Turuwhenua Jason, Henderson Jon

机构信息

Department of Physics and Electronic Engineering, University of Waikato, Hamilton, New Zealand.

出版信息

Optom Vis Sci. 2004 Nov;81(11):863-71. doi: 10.1097/01.opx.0000145023.74460.ee.

Abstract

PURPOSE

To describe a novel low-order method for the recovery of the corneal height from videokeratographically obtained images. The method uses an iterative cubic approach with implicit continuous curvature. Convergence is easily established for a particular videokeratograph. The effect of skew rays is treated in a postprocessing step.

METHOD

Four simulated model corneas are tested: (1) an asphere; (2) an ellipsoid; (3) a radially keratotomized cornea; and (4) a simulation of photorefractive keratectomy (PRK). The corneal height, slope, and tilt are compared against theory and a 2nd order Taylor series method using root mean square error measures. The effect of lateral and axial shifts (up to 0.1 mm) is examined. The two methods are tested (experimentally) on an 8-mm spherical calibration ball, in which the image data are processed using a least-squares calibration procedure.

RESULTS

The lowest height errors are found for the asphere and PRK models (4.5 x 10 microm and 3.6 x 10 microm). The maximum height error is 0.38 microm (ellipsoid), with 0.14 microm average overall error and 0.45 microm error for the 8-mm calibration ball. The comparison method has an average error of 0.92 microm, with maximum error of 1.5 microm (PRK) and 0.55 microm error for the 8-mm calibration ball. Shift induces larger (approximately 200 microm/mm) height errors than axial shift (approximately 2 microm/mm), but the errors are similar between methods. A demonstration on additional ellipsoids suggests the new algorithm (without skew ray compensation) is not as effective as the comparison method for increasingly nonspherical surfaces. The method has a short completion time of 2.3 s in seven iterations using MATLAB version 5.0 (The MathWorks, Inc., Natick, MA), running on a Pentium III 667-MHz processor with 128 MB RAM, and running the Windows 2000 operating system (Microsoft, Redmond, WA).

CONCLUSION

An accurate, simple, robust, iteratively stable and fast method for estimating the corneal shape is described. A recovery with continuous curvature and skew ray compensation suggests a potential improvement within the context of current standard corneal shape recovery algorithms.

摘要

目的

描述一种从视频角膜地形图获取的图像中恢复角膜高度的新型低阶方法。该方法采用具有隐式连续曲率的迭代三次方方法。对于特定的视频角膜地形图仪,收敛很容易实现。斜射光线的影响在后期处理步骤中处理。

方法

测试了四个模拟模型角膜:(1)非球面;(2)椭球体;(3)放射状角膜切开术角膜;(4)准分子激光原位角膜磨镶术(PRK)模拟。将角膜高度、斜率和倾斜度与理论值以及使用均方根误差测量的二阶泰勒级数方法进行比较。研究了横向和轴向偏移(最大0.1毫米)的影响。在一个8毫米的球形校准球上对这两种方法进行了(实验)测试,其中使用最小二乘校准程序处理图像数据。

结果

非球面和PRK模型的高度误差最低(分别为4.5×10微米和3.6×10微米)。最大高度误差为0.38微米(椭球体),8毫米校准球的平均总体误差为0.14微米,误差为0.45微米。比较方法的平均误差为0.92微米,最大误差为1.5微米(PRK),8毫米校准球的误差为0.55微米。横向偏移引起的高度误差(约200微米/毫米)比轴向偏移(约2微米/毫米)大,但两种方法的误差相似。对其他椭球体的演示表明,对于越来越非球面的表面,新算法(无斜射光线补偿)不如比较方法有效。在配备128MB内存的奔腾III 667-MHz处理器上运行Windows 2000操作系统(微软公司,华盛顿州雷德蒙德),使用MATLAB版本5.0(MathWorks公司,马萨诸塞州纳蒂克),该方法在七次迭代中完成时间较短,为2.3秒。

结论

描述了一种准确、简单、稳健、迭代稳定且快速的估计角膜形状的方法。具有连续曲率和斜射光线补偿的恢复方法表明在当前标准角膜形状恢复算法的背景下有潜在的改进。

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