Yousefi Siavash, Wang Ruikang K
Department of Bioengineering, University of Washington, Seattle, WA, 98195, USA.
Phys Med Biol. 2014 Nov 21;59(22):6693-708. doi: 10.1088/0031-9155/59/22/6693. Epub 2014 Oct 20.
In an optical coherence tomography (OCT) scan from a living tissue, red blood cells (RBCs) are the major source of backscattering signal from moving particles within microcirculatory system. Measuring the concentration and velocity of RBC particles allows assessment of RBC flux and flow, respectively, to assess tissue perfusion and oxygen/nutrition exchange rates within micro-structures. In this paper, we propose utilizing spectral estimation techniques to simultaneously quantify bi-directional particle flow and relative flux by spectral estimation of the received OCT signal from moving particles within capillary tubes embedded in tissue mimicking phantoms. The proposed method can be directly utilized for in vivo quantification of capillaries and microvessels. Compared to the existing methods in the literature that can either quantify flow direction or power, our proposed method allows simultaneous flow (velocity) direction and relative flux (power) estimation.
在活体组织的光学相干断层扫描(OCT)中,红细胞(RBC)是微循环系统中运动粒子反向散射信号的主要来源。测量红细胞粒子的浓度和速度分别可以评估红细胞通量和血流,从而评估微观结构内的组织灌注以及氧气/营养物质交换率。在本文中,我们提出利用光谱估计技术,通过对嵌入仿组织体模的毛细管内运动粒子接收到的OCT信号进行光谱估计,来同时量化双向粒子流和相对通量。所提出的方法可直接用于体内毛细血管和微血管的量化。与文献中现有只能量化流动方向或功率的方法相比,我们提出的方法允许同时估计流动(速度)方向和相对通量(功率)。