Predicting subjective refraction with dynamic retinal image quality analysis.

Predicting subjective refraction with dynamic retinal image quality analysis.
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DOI:
10.1038/s41598-022-07786-0
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发表时间:
2022-03-08
期刊:
影响因子:
4.6
通讯作者:
Lage E
Lage E
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Gil A;Hernández CS;Nam AS;Varadaraj V;Durr NJ;Lim D;Dave SR;Lage E

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这项工作的目的是评估一种新算法的性能,该算法结合了动态波前像差测量数据和来自客观自折射测量的视网膜图像质量描述符,以预测主观折射。我们对新算法与标准的基于搜索的视网膜图像质量优化算法的预测准确度和精度进行了回顾性研究。使用手持式波前自折射仪对34例成人患者进行动态测量,使用高端台式波前像差仪获得静态数据。基于搜索的算法并没有显著改善桌面系统的结果,而动态方法能够同时降低手持像差仪的标准偏差(最多减少15%的球面等效功率)和预测的平均偏差(最多减少80%的球面等效功率)。这些结果表明,相对于主观折射,动态视网膜图像分析可以大大提高便携式波前自折射仪的准确度和精密度。
The aim of this work is to evaluate the performance of a novel algorithm that combines dynamic wavefront aberrometry data and descriptors of the retinal image quality from objective autorefractor measurements to predict subjective refraction. We conducted a retrospective study of the prediction accuracy and precision of the novel algorithm compared to standard search-based retinal image quality optimization algorithms. Dynamic measurements from 34 adult patients were taken with a handheld wavefront autorefractor and static data was obtained with a high-end desktop wavefront aberrometer. The search-based algorithms did not significantly improve the results of the desktop system, while the dynamic approach was able to simultaneously reduce the standard deviation (up to a 15% for reduction of spherical equivalent power) and the mean bias error of the predictions (up to 80% reduction of spherical equivalent power) for the handheld aberrometer. These results suggest that dynamic retinal image analysis can substantially improve the accuracy and precision of the portable wavefront autorefractor relative to subjective refraction.
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