Malz André, Eix Ilos, Stork Wilhelm, Müller-Glaser Klaus-Dieter
Institute for Information Processing Technology, Karlsruhe Institute of Technology, Vincenz-Priessnitz-Str. 1, 76131 Karlsruhe, Germany.
J Opt Soc Am A Opt Image Sci Vis. 2011 May 1;28(5):934-9. doi: 10.1364/JOSAA.28.000934.
the method described here allows for automatic calculation of the fundus pulse from interferometric measurements.
a low intensity laser beam is coupled into the eye. Two strong reflections, one of the cornea and one of the retina, interfere on a high-speed complementary metal-oxide-semiconductor camera chip. After eye movement compensation, a speckle-free phase of the interferograms is calculated from a series of interference fringes. Then, the fundus pulsation is calculated from the phase shift between two consecutive interferograms.
occurring speckle perturbs the fringe images, and therefore, classical geometrical movement compensation algorithms do not work with sufficient accuracy. The movement compensation algorithm needs to work without prior knowledge of the phase.
the proposed algorithms yield the fundus pulse from speckled interferograms, overcoming the above mentioned problems.
本文所述方法可根据干涉测量自动计算眼底脉搏。
将低强度激光束耦合入眼。角膜和视网膜的两个强反射在高速互补金属氧化物半导体相机芯片上发生干涉。在进行眼动补偿后,根据一系列干涉条纹计算出干涉图的无散斑相位。然后,根据两个连续干涉图之间的相移计算眼底搏动。
出现的散斑会干扰条纹图像,因此,传统的几何运动补偿算法无法以足够的精度工作。运动补偿算法需要在没有相位先验知识的情况下工作。
所提出的算法可从散斑干涉图中得出眼底脉搏,克服了上述问题。