Doppler optical micro-angiography for volumetric imaging of vascular perfusion in vivo.
Doppler optical micro-angiography for volumetric imaging of vascular perfusion in vivo.
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DOI：
10.1364/oe.17.008926
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发表时间：
2009-05-25
期刊：
影响因子：
3.8
通讯作者：
An L
中科院分区：
文献类型：
--
作者：
Wang RK;An L
我们提出了一种多普勒光学微血管成像(DOMAG)方法来成像体内微循环组织床内功能血管中的血流速度。该方法利用了最近发展起来的光学显微血管成像(OMAG)技术的优点，即从运动的血细胞中分离出来自组织背景的内源光学信号，即组织的微结构。与相位分辨多普勒光学相干层析成像(PRDOCT)类似，OMAG血流信号相邻A扫描之间的相位差被用来评估流速。为了满足利用相位分辨技术估计血流速度时相邻A扫描之间的相关性的要求，对理想的组织样本背景(即光学均匀的组织样本)进行数字重建，以取代OMAG流动图像中剔除的代表静态样本非均匀特征的信号。由于DOMAG是一种理想的光学均匀样品，它不会受到样品的非均匀特性所带来的纹理图案噪声的影响，从而大大提高了成像性能。通过一系列体模流动实验对改进后的成像性能进行了定量评价。然后，我们在小鼠大脑上进行活体实验，以证明DOMAG能够量化脑血管网络中的血流速度，直到毛细血管水平的分辨率。最后，我们比较了DOMAG和PRDOCT的活体成像性能，表明DOMAG在可检测的流速下限方面至少比PRDOCT方法提高了15倍。
We propose a Doppler optical micro-angiography (DOMAG) method to image flow velocities of the blood flowing in functional vessels within microcirculatory tissue beds in vivo. The method takes the advantages of recently developed optical micro-angiography (OMAG) technology, in which the endogenous optical signals backscattered from the moving blood cells are isolated from those originated from the tissue background, i.e., the tissue microstructures. The phase difference between adjacent A scans of OMAG flow signals is used to evaluate the flow velocity, similar to phase-resolved Doppler optical coherence tomography (PRDOCT). To meet the requirement of correlation between adjacent A scans in using the phase resolved technique to evaluate flow velocity, an ideal tissue-sample background (i.e. optically homogeneous tissue sample) is digitally reconstructed to replace the signals that represent the heterogeneous features of the static sample that are rejected in the OMAG flow images. Because of the ideal optical-homogeneous sample, DOMAG is free from the characteristic texture pattern noise due to the heterogeneous property of sample, leading to dramatic improvement of the imaging performance. A series of phantom flow experiments are performed to evaluate quantitatively the improved imaging performance. We then conduct in vivo experiments on a mouse brain to demonstrate that DOMAG is capable of quantifying the flow velocities within cerebrovascular network, down to capillary level resolution. Finally, we compare the in vivo imaging performance of DOMAG with that of PRDOCT, and show that DOMAG delivers at least 15-fold increase over the PRDOCT method in terms of the lower limit of flow velocity that can be detected.
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