de Castro Alberto, Sawides Lucie, Qi Xiaofeng, Burns Stephen A
Appl Opt. 2017 Aug 20;56(24):6748-6754. doi: 10.1364/AO.56.006748.
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.
使用自适应光学（AO）系统进行视网膜成像通常要求眼睛相对于系统的出瞳居中且稳定。然后通常在固定的圆形瞳孔内校正像差。当对某些受试者进行成像时，这种方法可能具有局限性，因为瞳孔可能不是圆形的，并且保持稳定的头部位置可能很困难。在本文中，我们提出了一种自动算法，该算法放宽了这些限制。为夏克-哈特曼图像的每个光斑计算图像质量指标，以检测瞳孔及其边界，并且控制算法仅应用于受试者瞳孔内的区域。获取了模型眼以及五名受试者的图像，以表明大于受试者眼睛瞳孔的系统出瞳可用于AO视网膜成像，而不会降低图像质量。该算法自动执行选择瞳孔大小的任务。它还可能放宽对受试者瞳孔居中以及瞳孔形状的限制。
