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Measuring blood flow velocities based on three image processing techniques
Author(s) -
Zeng YanJun,
Zhang JianHua,
Shen Bing,
Diao Yue,
Xu XiaoHu,
Xu Hong
Publication year - 2005
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.1876652
Subject(s) - blood flow , microcirculation , measure (data warehouse) , capillary action , fourier transform , image processing , template matching , fourier analysis , fast fourier transform , flow (mathematics) , mathematics , optics , computer science , biomedical engineering , computer vision , algorithm , materials science , image (mathematics) , physics , geometry , mathematical analysis , medicine , database , composite material , radiology
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.