Metrics of retinal image quality predict visual performance in eyes with 20/17 or better visual acuity

Metrics of retinal image quality predict visual performance in eyes with 20/17 or better visual acuity
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DOI:
10.1097/01.opx.0000232842.60932.af
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发表时间:
2006-09-01
影响因子:
1.4
通讯作者:
Thibos, Larry N.
Thibos, Larry N.
中科院分区:
医学4区
文献类型:
--
作者:
Applegate, Raymond A.;Marsack, Jason D.;Thibos, Larry N.

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目的。本研究的目的是确定眼睛视网膜图像质量的单值指标预测视觉性能的能力,通过 20/17 和更好视力的眼睛在明视 (P) 和中视 (M) 光水平下的高 (HQ) 和低 (LC) 对比度敏锐度来测量。方法. 49 名健康状况良好的受试者,年龄从 21.8 岁到 62.6 岁,单眼视力为 20/17 或更好使用定制的 Shack/Hartmann 波前传感器测量每只眼睛的 7 毫米瞳孔的高对比度对数最小分辨率 (logMAR) 视力,并使用 HC (95%) 和 LC (11%) logMAR 测量视力。 (270 cd/m(2)) 和中间光 (0.75 cd/m(2)) 光水平 为了确定每个视网膜图像质量指标预测每种类型 logMAR 敏锐度(PHC、PLC、MHC 和 M LC)的能力,将每个敏锐度测量值与每个光学质量指标进行回归。结果随着亮度的提高,视网膜图像质量指标预测 logMAR 敏锐度的能力得到提高。最佳视网膜图像质量指标 (logPFSc) 分别占 P HQ P LC、M HQ 和 M LC logMAR 敏锐度方差的 2.6%、15.1%、27.6% 和 40.0%。 结论:在 P HC 敏锐度为 20/17 和更好的眼睛中,P HC logMAR 敏锐度对视网膜变化不敏感。与 M LC logMAR 视力相比,随着对比度和/或亮度的降低,视网膜图像质量越来越能预测 logMAR 视力。临床上,视网膜图像质量作为亮度和对比度函数的影响可以通过 M LC logMAR 视力表轻松测量。
Purpose. The purpose of this study is to determine the ability of single-value metrics of retinal image quality of the eye to predict visual performance as measured by high (HQ and low (LC) -contrast acuity at photopic (P) and mesopic (M) light levels in eyes with 20/17 and better visual acuity.Methods. Forty-nine normal subjects in good health ranging in age from 21.8 to 62.6 with 20/17 or better monocular high-contrast logarithm of the minimum angle of resolution (logMAR) acuity served as subjects. Wavefront error through the 10th Zernike radial order over a 7-mm pupil was measured on each test eye using a custom-built Shack/Hartmann wavefront sensor. For each eye, 31 different single-value retinal image quality metrics were calculated. Visual acuity was measured using HC (95%) and LC (11%) logMAR at photopic (270 cd/m(2)) and mesopic (0.75 cd/m(2)) light levels. To determine the ability of each metric of retinal image quality to predict each type of logMAR acuity (P HC, P LC, M HC, and M LC), each acuity measure was regressed against each optical quality metric.Results. The ability of the metrics of retinal image quality to predict logMAR acuity improved as luminance and/or contrast is lowered. The best retinal image quality metric (logPFSc) accounted for 2.6%, 15.1%, 27.6%, and 40.0% of the variance in P HQ P LC, M HQ and M LC logMAR acuity, respectively.Conclusions. In eyes with 20/17 and better P HC acuity, P HC logMAR acuity is insensitive to variations in retinal image quality compared with M LC logMAR acuity. Retinal image quality becomes increasingly predictive of logMAR acuity as contrast and/or luminance is decreased. Everyday life requires individuals to function over a large range of contrast and luminance levels. Clinically, the impact of retinal image quality as a function of luminance and contrast is readily measurable in a time-efficient manner with M LC logMAR acuity charts.