Retinal image quality for virtual eyes generated by a statistical model of ocular wavefront aberrations
Retinal image quality for virtual eyes generated by a statistical model of ocular wavefront aberrations
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DOI：
10.1111/j.1475-1313.2009.00662.x
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发表时间：
2009-05-01
影响因子：
2.9
通讯作者：
Thibos, Larry N.
中科院分区：
文献类型：
--
作者：
Thibos, Larry N.
先前根据对 100 只正常眼睛测量的波前像差开发了正常、矫正良好的眼睛的像差结构的统计模型 (Opthal. Physiol. Opt22, 427-433, 2002.) (J. Opt. Soc. Am. A.19, 2329-2348, 2002.)。该模型能够为从泽尼克像差系数的多元高斯分布中随机抽取的虚拟眼睛生成无限数量的波前像差函数。该报告提供的证据表明，通过 31 种不同图像质量指标量化的虚拟眼中的单色视网膜图像质量（J. Vis.4, 329-351, 2004.）可以代表人眼，但稍微夸大了由眼部像差引起的视网膜图像的退化。本文的附录中包含了一个用于生成虚拟眼睛的演示程序。
A statistical model of the aberration structure of normal, well-corrected eyes was developed previously (Opthal. Physiol. Opt22, 427-433, 2002.) from wavefront aberrations measured for 100 normal eyes (J. Opt. Soc. Am. A.19, 2329-2348, 2002.). The model is capable of generating an unlimited number of wavefront aberration functions for virtual eyes drawn randomly from a multivariate Gaussian distribution of Zernike aberration coefficients. This report provides evidence that monochromatic retinal image quality in virtual eyes, as quantified by 31 different image quality metrics (J. Vis.4, 329-351, 2004.), is representative of human eyes but slightly exaggerates the degradation of the retinal image caused by ocular aberrations. A demonstration program for producing virtual eyes is included as an Appendix to this paper.