Yip C Y, Aggarwal S J, Diller K R, Bovik A C
Department of Electrical and Computer Engineering, University of Texas, Austin 78712.
Microvasc Res. 1991 Jan;41(1):73-83. doi: 10.1016/0026-2862(91)90009-z.
An automatic digital image processing technique for simultaneous vasomotion analysis in peripheral microcirculation at multiple sites and in real time is presented. The algorithm utilizes either fluorescent or bright field micro-images of the vasculature as input. The video images are digitized and analyzed on-line by an IBM RT PC, using digital filtering and edge detection. The sampling frequency is higher than 5 Hz when only one site is tracked and decreases as the number of sites is incremented. Performance of the algorithm was tested for a hamster cutaneous microcirculation model.
本文提出了一种自动数字图像处理技术，用于实时同时分析多个部位外周微循环中的血管运动。该算法将脉管系统的荧光或明场显微图像作为输入。视频图像通过数字滤波和边缘检测在IBM RT PC上进行数字化和在线分析。当只跟踪一个部位时，采样频率高于5Hz，随着部位数量的增加而降低。该算法的性能在仓鼠皮肤微循环模型上进行了测试。
