Zawadzki Robert J, Capps Arlie G, Kim Dae Yu, Panorgias Athanasios, Stevenson Scott B, Hamann Bernd, Werner John S
Vision Science and Advanced Retinal Imaging Laboratroy (VSRI), Department of Ophthalmology and Vision Science, and Department of Cell Biology and Human Anatomy, University of California Davis, Sacramento, CA 95817 USA.
Vision Science and Advanced Retinal Imaging Laboratory (VSRI), Department of Ophthalmology and Vision Science, with the Institute for Data Analysis and Visualization (IDAV), Department of Computer Science, University of California, Davis, Davis, CA 95616 USA, and also with Physical and Life Sciences, Lawrence Livermore National Laboratory, CA 94551 USA.
IEEE J Sel Top Quantum Electron. 2014 Mar;20(2). doi: 10.1109/JSTQE.2013.2288302.
Recent progress in retinal image acquisition techniques, including optical coherence tomography (OCT) and scanning laser ophthalmoscopy (SLO), combined with improved performance of adaptive optics (AO) instrumentation, has resulted in improvement in the quality of images of cellular structures in the human retina. Here, we present a short review of progress on developing AO-OCT instruments. Despite significant progress in imaging speed and resolution, eye movements present during acquisition of a retinal image with OCT introduce motion artifacts into the image, complicating analysis and registration. This effect is especially pronounced in high-resolution datasets acquired with AO-OCT instruments. Several retinal tracking systems have been introduced to correct retinal motion during data acquisition. We present a method for correcting motion artifacts in AO-OCT volume data after acquisition using simultaneously captured adaptive optics-scanning laser ophthalmoscope (AO-SLO) images. We extract transverse eye motion data from the AO-SLO images, assign a motion adjustment vector to each AO-OCT -scan, and re-sample from the scattered data back onto a regular grid. The corrected volume data improve the accuracy of quantitative analyses of microscopic structures.
视网膜图像采集技术的最新进展,包括光学相干断层扫描(OCT)和扫描激光检眼镜(SLO),再加上自适应光学(AO)仪器性能的提升,使得人类视网膜细胞结构图像的质量得到了改善。在此,我们对AO-OCT仪器的研发进展进行简要综述。尽管在成像速度和分辨率方面取得了显著进展,但在使用OCT采集视网膜图像时出现的眼球运动在图像中引入了运动伪影,使分析和配准变得复杂。这种影响在使用AO-OCT仪器获取的高分辨率数据集中尤为明显。已经引入了几种视网膜跟踪系统来在数据采集期间校正视网膜运动。我们提出了一种在采集后使用同时捕获的自适应光学扫描激光检眼镜(AO-SLO)图像校正AO-OCT体数据中运动伪影的方法。我们从AO-SLO图像中提取横向眼球运动数据,为每个AO-OCT扫描分配一个运动调整向量,并将散射数据重新采样回规则网格上。校正后的体数据提高了微观结构定量分析的准确性。