Motion correction in optical coherence tomography volumes on a per A-scan basis using orthogonal scan patterns.
Motion correction in optical coherence tomography volumes on a per A-scan basis using orthogonal scan patterns.
复制标题
DOI：
10.1364/boe.3.001182
复制
发表时间：
2012-06-01
影响因子：
3.4
通讯作者：
Fujimoto JG
中科院分区：
文献类型：
--
作者：
Kraus MF;Potsaid B;Mayer MA;Bock R;Baumann B;Liu JJ;Hornegger J;Fujimoto JG
高速光学相干断层扫描（OCT）使得快速捕获密集采样的3D体数据成为可能。一个关键的应用是获取人体视网膜的高质量体内体积数据集。由于体积是在几秒钟内采集的，因此扫描过程中的眼球运动会导致失真，这限制了使用3D OCT数据进行定量测量的准确性。在本文中，我们提出了一种新的基于软件的方法来纠正OCT光栅扫描中的运动伪影。使用OCT数据集本身的图像配准算法回顾性地执行运动补偿。回顾性地配准具有正交快速扫描方向的多个连续采集的体积扫描，以便估计和校正眼睛运动。配准是通过优化一个大规模的数值问题，通过使用一个密集的位移场为每个输入体积和特殊的正则化的采集过程的时间结构的基础上的全局目标函数。在优化之后，每个体积都是不失真的，并且构建了与输入体积相比具有上级信号质量的单个合并体积。使用来自黄斑和视神经乳头的3D OCT数据以及用1050 nm扫频源OCT仪器获得的宽视场数据进行实验，所述黄斑和视神经乳头用高速超高分辨率850 nm光谱OCT获得。配准性能和结果稳定性以及目视检查的评估表明，该算法可以纠正在所有三维和每个A扫描的基础上的运动。校正后的体积未显示可见的运动伪影。此外，合并多个运动校正和配准的体积导致改善的信号质量。这些结果表明，运动校正和合并提高了图像质量，也应该提高从体积OCT数据的形态测量精度。
High speed Optical Coherence Tomography (OCT) has made it possible to rapidly capture densely sampled 3D volume data. One key application is the acquisition of high quality in vivo volumetric data sets of the human retina. Since the volume is acquired in a few seconds, eye movement during the scan process leads to distortion, which limits the accuracy of quantitative measurements using 3D OCT data. In this paper, we present a novel software based method to correct motion artifacts in OCT raster scans. Motion compensation is performed retrospectively using image registration algorithms on the OCT data sets themselves. Multiple, successively acquired volume scans with orthogonal fast scan directions are registered retrospectively in order to estimate and correct eye motion. Registration is performed by optimizing a large scale numerical problem as given by a global objective function using one dense displacement field for each input volume and special regularization based on the time structure of the acquisition process. After optimization, each volume is undistorted and a single merged volume is constructed that has superior signal quality compared to the input volumes. Experiments were performed using 3D OCT data from the macula and optic nerve head acquired with a high-speed ultra-high resolution 850 nm spectral OCT as well as wide field data acquired with a 1050 nm swept source OCT instrument. Evaluation of registration performance and result stability as well as visual inspection shows that the algorithm can correct for motion in all three dimensions and on a per A-scan basis. Corrected volumes do not show visible motion artifacts. In addition, merging multiple motion corrected and registered volumes leads to improved signal quality. These results demonstrate that motion correction and merging improves image quality and should also improve morphometric measurement accuracy from volumetric OCT data.