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基于复杂信号的光相干断层扫描血管造影可在体可视化人脉络膜的脉络膜毛细血管。

Complex signal-based optical coherence tomography angiography enables in vivo visualization of choriocapillaris in human choroid.

机构信息

University of Washington, Department of Bioengineering, Seattle, Washington, United States.

University of Washington, Department of Ophthalmology, Seattle, Washington, United States.

出版信息

J Biomed Opt. 2017 Nov;22(12):1-10. doi: 10.1117/1.JBO.22.12.121705.

DOI:10.1117/1.JBO.22.12.121705
PMID:29178697
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5745879/
Abstract

The choriocapillaris (CC) plays an essential role in maintaining the normal functions of the human eye. There is increasing interest in the community to develop an imaging technique for visualizing the CC, yet this remains underexplored due to technical limitations. We propose an approach for the visualization of the CC in humans via a complex signal-based optical microangiography (OMAG) algorithm, based on commercially available spectral domain optical coherence tomography (SD-OCT). We show that the complex signal-based OMAG was superior to both the phase and amplitude signal-based approaches in detailing the vascular lobules previously seen with histological analysis. With this improved ability to visualize the lobular vascular networks, it is possible to identify the feeding arterioles and draining venules around the lobules, which is important in understanding the role of the CC in the pathogenesis of ocular diseases. With built-in FastTrac™ and montage scanning capabilities, we also demonstrate wide-field SD-OCT angiograms of the CC with a field of view at 9×11  mm2.

摘要

脉络膜毛细血管(CC)在维持人眼的正常功能方面起着至关重要的作用。由于技术限制,开发用于可视化 CC 的成像技术在该领域越来越受到关注,但这方面的研究仍不够充分。我们提出了一种基于商业上可用的谱域光相干断层扫描(SD-OCT)的基于复杂信号的光学微血管造影(OMAG)算法来可视化人眼的 CC。我们表明,基于复杂信号的 OMAG 在详细显示先前通过组织学分析观察到的血管小叶方面优于基于相位和幅度信号的方法。通过这种改进的小叶血管网络可视化能力,可以识别小叶周围的供养动脉和引流静脉,这对于理解 CC 在眼部疾病发病机制中的作用很重要。通过内置的 FastTrac™ 和拼接扫描功能,我们还展示了具有 9×11  mm2 视野的 CC 的宽场 SD-OCT 血管造影图。

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