Pittman R N, Ellsworth M L
Microvasc Res. 1986 Nov;32(3):371-88. doi: 10.1016/0026-2862(86)90072-5.
The dual sensor cross-correlation method of H. Wayland and P.C. Johnson [1967), J. Appl. Physiol. 22, 333-337) has become a standard technique for determining the velocity of red blood cells (RBCs) in glass tubes and blood vessels. M. Baker and H. Wayland [1974), Microvasc. Res. 7, 131-143) found that under a variety of conditions the ratio of dual sensor velocity at the centerline of a glass tube to the blood velocity averaged over the lumen was close to 1.6. They provided an explanation of this factor based on spatial averaging of RBC velocity vertically through the tube as well as laterally across the face of the sensor. Their spatial averaging model could also account for the apparent blunting of RBC velocity profiles determined with the dual sensor technique. We used Baker and Wayland's spatial averaging model to calculate how the above velocity ratio depends on sensor size. A nonlinear relation between the velocity ratio and sensor size was found such that the velocity ratio varied from 1.6 to 1.33 as the ratio of sensor width to vessel or tube diameter was varied from 0 to 1. These results also hold for vessels or tubes of elliptic cross section. Some investigators have found that the velocity of red cells near the walls of blood vessels can be a substantial fraction of centerline velocity which suggests that RBC velocity distributions can be blunter than a Poiseuille distribution. We repeated the above calculation for blunted parabolic profiles and we found that the velocity ratio ranged from 1 for plug flow to 1.6 for Poiseuille flow. These calculations show that reliable estimates of RBC flow from dual sensor centerline velocity measurements require one to take into account the relative size of the sensor and blood vessel diameter as well as the bluntness of the RBC velocity distribution.
H.韦兰和P.C.约翰逊于1967年提出的双传感器互相关方法(《应用生理学杂志》22卷,第333 - 337页)已成为测定玻璃管和血管中红细胞(RBC)速度的标准技术。M.贝克和H.韦兰于1974年(《微血管研究》7卷,第131 - 143页)发现,在各种条件下,玻璃管中心线处的双传感器速度与管腔平均血流速度之比接近1.6。他们基于红细胞速度在垂直于管的方向以及横向穿过传感器表面的空间平均,对该因素进行了解释。他们的空间平均模型也可以解释用双传感器技术测定的红细胞速度分布明显变钝的现象。我们使用贝克和韦兰的空间平均模型来计算上述速度比如何依赖于传感器尺寸。发现速度比与传感器尺寸之间存在非线性关系,即随着传感器宽度与血管或管直径之比从0变化到1,速度比从1.6变化到1.33。这些结果对于椭圆形横截面的血管或管也成立。一些研究人员发现,血管壁附近红细胞的速度可以达到中心线速度的很大一部分,这表明红细胞速度分布可能比泊肃叶分布更钝。我们对变钝的抛物线型分布重复了上述计算,发现速度比范围从塞流时的1到泊肃叶流时的1.6。这些计算表明,要从双传感器中心线速度测量可靠地估计红细胞流量,需要考虑传感器与血管直径的相对大小以及红细胞速度分布的钝度。