Cortical microvascular blood flow velocity mapping by combining dynamic light scattering optical coherence tomography and two-photon microscopy.
Cortical microvascular blood flow velocity mapping by combining dynamic light scattering optical coherence tomography and two-photon microscopy.
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DOI：
10.1117/1.jbo.28.7.076003
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发表时间：
2023-07
影响因子：
3.5
通讯作者：
中科院分区：
文献类型：
--
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脑微血管血流速度的精确大尺度制图对于更好地理解脑血流调节至关重要。虽然光学成像技术可以实现高分辨率微血管造影和快速的小鼠皮质绝对CBF速度测量，但它们通常需要不同的成像技术和独立的系统配置来最大化其性能。因此，如何准确地将功能和形态测量结合起来，用高分辨率微血管造影来共同记录数百条微血管的CBF速度分布，仍然是一个挑战。我们提出了一个数据采集和处理框架，将动态光散射光学相干断层扫描（DLS-OCT）获得的大量微血管血流速度测量数据与双光子显微镜（2PM）获得的相应微血管造影数据共同注册。我们使用DLS-OCT首先通过封闭的小鼠颅窗快速获取大量微血管速度，然后使用2PM获取高分辨率微血管造影。获取的数据分三个步骤进行处理：(i) 2PM血管造影与dl - oct血管造影共配准，（ii） 2PM血管造影分割和成像，以及（iii）将CBF速度映射到2PM血管造影的图形表示。我们将开发的框架应用于从小鼠皮层获得的三个数据集，以促进DLS-OCT流速测量数据与2PM血管造影的共配准。我们从1000多个微血管节段中检索了小动脉、小静脉和毛细血管中红细胞速度的分布，作为毛细血管前小动脉和毛细血管后小静脉分支顺序的函数。所提出的框架可以作为一个有用的工具，用于定量分析由OCT和2PM获得的大型微血管数据集，研究涉及正常脑功能，各种疾病的进展，以及现实微血管网络中氧气平流和扩散的数值模拟。
The accurate large-scale mapping of cerebral microvascular blood flow velocity is crucial for a better understanding of cerebral blood flow (CBF) regulation. Although optical imaging techniques enable both high-resolution microvascular angiography and fast absolute CBF velocity measurements in the mouse cortex, they usually require different imaging techniques with independent system configurations to maximize their performances. Consequently, it is still a challenge to accurately combine functional and morphological measurements to co-register CBF speed distribution from hundreds of microvessels with high-resolution microvascular angiograms. We propose a data acquisition and processing framework to co-register a large set of microvascular blood flow velocity measurements from dynamic light scattering optical coherence tomography (DLS-OCT) with the corresponding microvascular angiogram obtained using two-photon microscopy (2PM). We used DLS-OCT to first rapidly acquire a large set of microvascular velocities through a sealed cranial window in mice and then to acquire high-resolution microvascular angiograms using 2PM. The acquired data were processed in three steps: (i) 2PM angiogram coregistration with the DLS-OCT angiogram, (ii) 2PM angiogram segmentation and graphing, and (iii) mapping of the CBF velocities to the graph representation of the 2PM angiogram. We implemented the developed framework on the three datasets acquired from the mice cortices to facilitate the coregistration of the large sets of DLS-OCT flow velocity measurements with 2PM angiograms. We retrieved the distributions of red blood cell velocities in arterioles, venules, and capillaries as a function of the branching order from precapillary arterioles and postcapillary venules from more than 1000 microvascular segments. The proposed framework may serve as a useful tool for quantitative analysis of large microvascular datasets obtained by OCT and 2PM in studies involving normal brain functioning, progression of various diseases, and numerical modeling of the oxygen advection and diffusion in the realistic microvascular networks.
影响因子：
5.5
作者：
Huang JY;Li LT;Wang H;Liu SS;Lu YM;Liao MH;Tao RR;Hong LJ;Fukunaga K;Chen Z;Wilcox CS;Lai EY;Han F
通讯作者：
Han F