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使用压缩采样光学相干断层扫描的实时高速容积成像

Real-time high-speed volumetric imaging using compressive sampling optical coherence tomography.

作者信息

Young Mei, Lebed Evgeniy, Jian Yifan, Mackenzie Paul J, Beg Mirza Faisal, Sarunic Marinko V

出版信息

Biomed Opt Express. 2011 Sep 1;2(9):2690-7. doi: 10.1364/BOE.2.002690. Epub 2011 Aug 24.

Abstract

Volumetric imaging of the Optic Nerve Head (ONH) morphometry with Optical Coherence Tomography (OCT) requires dense sampling and relatively long acquisition times. Compressive Sampling (CS) is an emerging technique to reduce volume acquisition time with minimal image degradation by sparsely sampling the object and reconstructing the missing data in software. In this report, we demonstrated real-time CS-OCT for volumetric imaging of the ONH using a 1060nm Swept-Source OCT prototype. We also showed that registration and averaging of CS-recovered volumes enhanced visualization of deep structures of the sclera and lamina cribrosa. This work validates CS-OCT as a means for reducing volume acquisition time and for preserving high-resolution in volume-averaged images. Compressive sampling can be integrated into new and existing OCT systems without changes to the optics, requiring only software changes and post-processing of acquired data.

摘要

利用光学相干断层扫描(OCT)对视神经乳头(ONH)形态进行容积成像需要密集采样和相对较长的采集时间。压缩采样(CS)是一种新兴技术,通过对物体进行稀疏采样并在软件中重建缺失数据,以在最小图像退化的情况下减少容积采集时间。在本报告中,我们展示了使用1060nm扫频源OCT原型对视神经乳头进行容积成像的实时CS-OCT。我们还表明,CS恢复容积的配准和平均增强了巩膜和筛板深层结构的可视化。这项工作验证了CS-OCT作为减少容积采集时间和在容积平均图像中保持高分辨率的一种手段。压缩采样可以集成到新的和现有的OCT系统中,而无需改变光学元件,只需要软件更改和对采集数据进行后处理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e660/3184877/0ac26c4901d2/boe-2-9-2690-g001.jpg

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