Zhu L, Bartsch D U, Freeman W R, Sun P C, Fainman Y
Department of Electrical and Computer Engineering, University of California San Diego, La Jolla 92093-0407, USA.
Optom Vis Sci. 1998 Nov;75(11):827-39. doi: 10.1097/00006324-199811000-00025.
We introduced a mathematical eye model using Gullstrand's six-surface eye model modified by clinically measured aspherical data to study human eye aberrations and their compensation for high-resolution retinal imaging. Ray tracing was used to characterize aberrations and point spread functions (PSFs) of the eye model. By using the Zernike polynomial decomposition of the calculated pupil function, we quantified the wavefront aberrations. Based on calculated PSFs, we designed optical inverse filters to reduce the aberrations for a large pupil size and improve the resolution. Spherical aberration and oblique astigmatism were found to be in good agreement with published experimental measurements. Spherical aberration and defocus were the most significant aberrations for on-axis imaging, whereas oblique astigmatism and coma combined with spherical aberration and defocus were most significant for off-axis imaging. The best retinal image resolution occurred at 2- to 3-mm pupil diameter. After aberration correction for an 8-mm diameter pupil, the resolutions for on-axis or 9 degrees off-axis imaging points were very close to diffraction-limited resolutions. Over a limited field of view (FOV), retinal image resolution of the eye model can be greatly improved by aberration correction using aspheric and astigmatic lenses. For imaging large FOVs, space-variant compensation techniques will be required for aberration correction.
我们引入了一种数学眼模型,该模型使用经临床测量的非球面数据修正的古尔斯特兰德六面眼模型,以研究人眼像差及其对高分辨率视网膜成像的补偿。光线追迹用于表征眼模型的像差和点扩散函数(PSF)。通过对计算出的瞳孔函数进行泽尼克多项式分解,我们对波前像差进行了量化。基于计算出的PSF,我们设计了光学逆滤波器,以减少大瞳孔尺寸下的像差并提高分辨率。发现球差和斜散光与已发表的实验测量结果吻合良好。球差和散焦是轴上成像中最显著的像差,而斜散光和彗差与球差和散焦相结合在离轴成像中最为显著。最佳视网膜图像分辨率出现在瞳孔直径为2至3毫米时。对直径为8毫米的瞳孔进行像差校正后,轴上或离轴9度成像点的分辨率非常接近衍射极限分辨率。在有限的视场(FOV)内,通过使用非球面和散光透镜进行像差校正,可以大大提高眼模型的视网膜图像分辨率。对于大FOV成像,将需要空间变体补偿技术来进行像差校正。