Laboratoire Aimé Cotton, CNRS, Université Paris-Sud, Orsay, France.
J Refract Surg. 2010 Aug;26(8):578-87. doi: 10.3928/1081597X-20090901-01.
The two objectives were 1) to measure visual acuity (VA) and contrast sensitivity (CS) losses induced by various amounts of individual Zernike aberrations, and 2) to examine the accuracy of image quality metrics in predicting these visual performance losses.
Monocular 10 cycles/degree (cpd) and 25 cpd CS and high- and low-contrast VA were measured when introducing individual Zernike aberrations in four patients dynamically corrected using a CRX1 adaptive optics system (Imagine Eyes) and a 5.5-mm pupil. Seven levels (0, +/- 0.1, +/- 0.3, and +/- 0.9 microm) of astigmatism, spherical aberration, coma, and trefoil and four levels of defocus were induced. Several image quality metrics based on the radially averaged modulation transfer function (rMTF) and optical transfer function (rOTF) calculations were computed to attempt to predict the losses in VA and CS.
Modes near the center and at the top of the Zernike pyramid decreased VA significantly more than modes near the edge or at the bottom of the pyramid. The measured CS losses were reasonably correlated to the rMTF calculated at 10 cpd (R2 = 0.87) and 25 cpd (R2 = 0.75). The high-contrast VA degradations were also reasonably predicted (R2 = 0.85) by the intersection between the rMTF and the neural contrast threshold function. The low-contrast VA losses were also well predicted (R2 = 0.88) by three rMTF-based metrics.
Image quality metrics based on wavefront aberration measurements were able to predict the impact of individual Zernike aberrations on CS and VA.
两个目的是 1)测量由不同数量的单个泽尼克像差引起的视力(VA)和对比敏感度(CS)损失,以及 2)检查图像质量指标在预测这些视觉性能损失方面的准确性。
当使用 CRX1 自适应光学系统(Imagine Eyes)和 5.5mm 瞳孔对四名患者进行动态校正时,测量单眼 10 个周期/度(cpd)和 25 cpd CS 和高低对比度 VA,并引入单个泽尼克像差。引入了 7 个水平(0、 +/- 0.1、 +/- 0.3 和 +/- 0.9 微米)的散光、球差、彗差和三叶差以及 4 个水平的离焦。计算了基于径向平均调制传递函数(rMTF)和光学传递函数(rOTF)计算的几种图像质量指标,试图预测 VA 和 CS 的损失。
泽尼克金字塔中心和顶部附近的模式比金字塔边缘或底部附近的模式明显降低 VA。测量的 CS 损失与在 10 cpd(R2 = 0.87)和 25 cpd(R2 = 0.75)计算的 rMTF 相当相关。高对比度 VA 退化也可以通过 rMTF 与神经对比度阈值函数的交点进行合理预测(R2 = 0.85)。低对比度 VA 损失也可以通过三种基于 rMTF 的指标进行很好的预测(R2 = 0.88)。
基于波前像差测量的图像质量指标能够预测单个泽尼克像差对 CS 和 VA 的影响。