Spectrally encoded coherence tomography and reflectometry: Simultaneous en face and cross-sectional imaging at 2 gigapixels per second.

Spectrally encoded coherence tomography and reflectometry: Simultaneous en face and cross-sectional imaging at 2 gigapixels per second.
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DOI:
10.1002/jbio.201700268
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发表时间:
2018-04
影响因子:
2.8
通讯作者:
Tao YK
Tao YK
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
El-Haddad MT;Bozic I;Tao YK

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非侵入性生物成像对于了解体内结构和功能至关重要。光学相干断层扫描(OCT)和反射共焦显微镜是在非荧光散射组织中进行外源无对比高分辨率三维成像最广泛使用的两种光学模式。然而,样本运动仍然是光栅扫描采集和重建宽视场解剖学精确体积数据集的关键障碍。我们推出光谱编码相干断层扫描和反射测量 (SECTR),这是一种用于同步 OCT 和光谱编码反射 (SER) 成像的高速多模态系统。 SECTR 采用由共享光学继电器、扫描镜、扫频激光器和数字化仪组成的强大系统设计,可实现每秒 2 十亿像素的最快体内多模态成像速率。我们的光学设计和采集方案能够同时对 OCT 横截面与正面 SER 图像进行时空联合配准采集,以实现多体积镶嵌。分别从 OCT 和 SER 数据中提取互补的轴向和横向平移和旋转,以微米空间和毫秒时间分辨率对样本运动进行全体积估计。提出了一种新颖的多模态成像系统设计。该系统设计用于以数十亿像素吞吐量进行组合宽视场地形和断层扫描成像,在研究和临床环境中具有潜在应用。系统性能通过前房和后视网膜的体内人体成像来证明。概述了一种初步算法,该算法利用三维运动信息来执行超宽视场视网膜复合材料的多体积镶嵌。
Non-invasive biological imaging is crucial for understanding in vivo structure and function. Optical coherence tomography (OCT) and reflectance confocal microscopy are two of the most widely used optical modalities for exogenous contrast-free high-resolution three-dimensional imaging in non-fluorescent scattering tissues. However, sample motion remains a critical barrier to raster-scanned acquisition and reconstruction of wide-field anatomically accurate volumetric datasets. We introduce spectrally encoded coherence tomography and reflectometry (SECTR), a high-speed multimodality system for simultaneous OCT and spectrally-encoded reflectance (SER) imaging. SECTR utilizes a robust system design consisting of shared optical relays, scanning mirrors, swept-laser, and digitizer to achieve the fastest reported in vivo multimodal imaging rate of 2 gigapixels-per-second. Our optical design and acquisition scheme enable spatiotemporally co-registered acquisition of OCT cross-sections simultaneously with en face SER images for multi-volumetric mosaicking. Complementary axial and lateral translation and rotation are extracted from OCT and SER data, respectively, for full volumetric estimation of sample motion with micron spatial and millisecond temporal resolution. A novel system design for a multimodal imaging system is presented. The system is designed for combined wide-field topographic and tomographic imaging at multi-gigapixel throughput, with potential applications in research and clinical settings. System performance is demonstrated through in vivo human imaging of the anterior chamber and the posterior retina. A preliminary algorithm is outlined that takes advantage of the three-dimensional motion information to perform multi-volumetric mosaicking of ultrawide-field retinal composites.
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