血流
微循环
度量(数据仓库)
毛细管作用
傅里叶变换
图像处理
模板匹配
傅里叶分析
快速傅里叶变换
流量(数学)
数学
光学
计算机科学
生物医学工程
计算机视觉
算法
材料科学
图像(数学)
物理
几何学
数学分析
医学
复合材料
放射科
内科学
数据库
作者
Yan‐Jun Zeng,Jianhua Zhang,Bing Shen,Yue Diao,Xu Xy,Hong Xu
摘要
The classification of microcirculation can be based on the size of the capillary and the velocity of the blood flow. For each type of microcirculation, the ad hoc method is required to measure the blood flow velocity. In this paper, the correlation method is used to measure blood flow velocity in the small-size capillary. The large-size capillaries are classified into three types based on the blood velocities, say low-speed, high-speed, and unstable one. The template-matching algorithm, the Fast Fourier Transform algorithm and a high-speed video camera measurement are used to measure the blood velocities corresponding to those three types of large-size capillary. It was shown by several experiments that fairly good results for different types of capillary may be obtained by using the proposed three image processing algorithms.
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