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Adaptive optics retinal imaging with automatic detection of the pupil and its boundary in real time using Shack-Hartmann images

机译:使用Shack-Hartmann图像,自动检测瞳孔的自动检测和其边界的自适应光学视网膜成像

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摘要

Retinal imaging with an adaptive optics (AO) system usually requires that the eye be centered and stable relative to the exit pupil of the system. Aberrations are then typically corrected inside a fixed circular pupil. This approach can be restrictive when imaging some subjects, since the pupil may not be round and maintaining a stable head position can be difficult. In this paper, we present an automatic algorithm that relaxes these constraints. An image quality metric is computed for each spot of the Shack-Hartmann image to detect the pupil and its boundary, and the control algorithm is applied only to regions within the subject's pupil. Images on a model eye as well as for five subjects were obtained to show that a system exit pupil larger than the subject's eye pupil could be used for AO retinal imaging without a reduction in image quality. This algorithm automates the task of selecting pupil size. It also may relax constraints on centering the subject's pupil and on the shape of the pupil. (C) 2017 Optical Society of America
机译:具有自适应光学(AO)系统的视网膜成像通常要求眼睛相对于系统的出口瞳孔居中和稳定。然后通常在固定的圆形瞳孔内校正像差。当对一些受试者进行成像时,这种方法可能是限制性的,因为瞳孔可能不是圆形并且保持稳定的头部位置。在本文中,我们介绍了一种自动算法,可以放松这些约束。计算图像质量度量,用于检测瞳孔和边界的Shack-Hartmann图像的每个光斑,并且控制算法仅应用于受试者瞳孔内的区域。在模型眼睛以及五个受试者上获得图像以表明系统出口瞳孔大于受试者的眼睛瞳孔,可用于AO视网膜成像,而不会降低图像质量。该算法可自动执行选择瞳孔大小的任务。它还可以放松对主体的瞳孔和瞳孔形状的限制。 (c)2017年光学学会

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  • 来源
    《Applied optics》 |2017年第24期|共7页
  • 作者单位

    Indiana Univ Sch Optometry 800 E Atwater Ave Bloomington IN 47401 USA;

    Indiana Univ Sch Optometry 800 E Atwater Ave Bloomington IN 47401 USA;

    Indiana Univ Sch Optometry 800 E Atwater Ave Bloomington IN 47401 USA;

    Indiana Univ Sch Optometry 800 E Atwater Ave Bloomington IN 47401 USA;

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  • 正文语种 eng
  • 中图分类 应用;
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