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使用散斑方差光学相干断层扫描对不同视网膜毛细血管床进行稳健成像的自动非刚性配准和拼接

Automated non-rigid registration and mosaicing for robust imaging of distinct retinal capillary beds using speckle variance optical coherence tomography.

作者信息

Hendargo Hansford C, Estrada Rolando, Chiu Stephanie J, Tomasi Carlo, Farsiu Sina, Izatt Joseph A

机构信息

Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA.

出版信息

Biomed Opt Express. 2013 May 7;4(6):803-21. doi: 10.1364/BOE.4.000803. Print 2013 Jun 1.

DOI:10.1364/BOE.4.000803
PMID:23761845
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3675861/
Abstract

Variance processing methods in Fourier domain optical coherence tomography (FD-OCT) have enabled depth-resolved visualization of the capillary beds in the retina due to the development of imaging systems capable of acquiring A-scan data in the 100 kHz regime. However, acquisition of volumetric variance data sets still requires several seconds of acquisition time, even with high speed systems. Movement of the subject during this time span is sufficient to corrupt visualization of the vasculature. We demonstrate a method to eliminate motion artifacts in speckle variance FD-OCT images of the retinal vasculature by creating a composite image from multiple volumes of data acquired sequentially. Slight changes in the orientation of the subject's eye relative to the optical system between acquired volumes may result in non-rigid warping of the image. Thus, we use a B-spline based free form deformation method to automatically register variance images from multiple volumes to obtain a motion-free composite image of the retinal vessels. We extend this technique to automatically mosaic individual vascular images into a widefield image of the retinal vasculature.

摘要

由于能够在100kHz频率下采集A扫描数据的成像系统的发展,傅里叶域光学相干断层扫描(FD - OCT)中的方差处理方法已能够实现视网膜毛细血管床的深度分辨可视化。然而,即使使用高速系统,采集体方差数据集仍需要几秒钟的采集时间。在此时间段内受试者的移动足以破坏血管系统的可视化。我们展示了一种方法,通过从顺序采集的多个数据体创建合成图像,来消除视网膜血管散斑方差FD - OCT图像中的运动伪影。在采集的数据体之间,受试者眼睛相对于光学系统的方向略有变化可能会导致图像的非刚性扭曲。因此,我们使用基于B样条的自由形式变形方法来自动配准来自多个数据体的方差图像,以获得视网膜血管的无运动合成图像。我们将此技术扩展到自动将单个血管图像拼接成视网膜血管系统的宽视野图像。

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