Kobayashi Katsuhiko, Shibutani Masahiro, Takeuchi Gaku, Ohnuma Kazuhiko, Miyake Yoichi, Negishi Kazuno, Ohno Kenji, Noda Toru
Topcon Corporation, Research and Development Center, 75-1 Hasunuma-cho, Itabashi-ku, Tokyo 175-8580, Japan.
J Biomed Opt. 2004 Jan-Feb;9(1):154-61. doi: 10.1117/1.1627777.
The single-pass modulation transfer function (MTF(sgl)) is an important numerical parameter that can help elucidate the performance and some processes of the human visual system. In previous studies, the MTF(sgl) was calculated from double-pass point spread function (PSF) measurements. These measurements include a depolarized reflection component from the retina that introduces a measurement artifact, and they require long acquisition times to allow averaging to reduce speckle. To solve these problems, we developed a new ocular PSF analysis system (PSFAS) that uses polarization optics to eliminate the depolarized retinal reflection component, and a rotating prism to increase measurement speed. Validation experiments on one patient showed that the MTF(sgl) measured by PSFAS agrees closely with the MTF calculated from contrast sensitivity measurements. A simulated retinal image was calculated by convolution of Landolt rings with the calculated single-pass PSF provided by the PSFAS. The contrast characteristic then was calculated from the simulated retinal images. These results indicate that the MTF(sgl) obtained using the PSFAS may be a reliable measure of visual performance of the optics of the eye, including the optical effects of the retina. The simulated retinal images and contrast characteristics are useful for evaluating visual performance.
单通道调制传递函数(MTF(sgl))是一个重要的数值参数,有助于阐明人类视觉系统的性能和一些过程。在先前的研究中,MTF(sgl)是根据双通道点扩散函数(PSF)测量值计算得出的。这些测量包括来自视网膜的去极化反射成分,这会引入测量伪影,并且需要较长的采集时间以进行平均来减少散斑。为了解决这些问题,我们开发了一种新的眼部PSF分析系统(PSFAS),该系统使用偏振光学器件消除去极化的视网膜反射成分,并使用旋转棱镜提高测量速度。对一名患者的验证实验表明,PSFAS测量的MTF(sgl)与根据对比敏感度测量计算得出的MTF非常吻合。通过将兰道环与PSFAS提供的计算出的单通道PSF进行卷积来计算模拟视网膜图像。然后从模拟视网膜图像中计算对比度特征。这些结果表明,使用PSFAS获得的MTF(sgl)可能是眼睛光学系统视觉性能的可靠度量,包括视网膜的光学效应。模拟视网膜图像和对比度特征对于评估视觉性能很有用。