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Measuring blood flow velocities based on three image processing techniques
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10.1118/1.1876652
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    Affiliations:
    1 Medical School, Shantou University, Shantou 515031, People’s Republic of China and Biomechanics and Medical Informatics Institute, Beijing University of Technology, Beijing 100022, People’s Republic of China
    2 Biomechanics and Medical Informatics Institute, Beijing University of Technology, Beijing 100022, People’s Republic of China and Signal Theory Group, Department of Electrical Engineering and Information Sciences, Ruhr-Universität Bochum, Bochum 44780 Germany
    3 Biomechanics and Medical Informatics Institute, Beijing University of Technology, Beijing 100022, People’s Republic of China
    4 Biomechanics and Medical Informatics Institute, Beijing University of Technology, Beijing 100022, People’s Republic of China
    5 Medical School, Shantou University, Shantou 515031, People’s Republic of China
    6 Medical School, Shantou University, Shantou 515031, People’s Republic of China
    a) Author to whom correspondence should be addressed; electronic mail: yjzeng@bjpu.edu.cn
    Med. Phys. 32, 1187 (2005); http://dx.doi.org/10.1118/1.1876652
/content/aapm/journal/medphys/32/4/10.1118/1.1876652
http://aip.metastore.ingenta.com/content/aapm/journal/medphys/32/4/10.1118/1.1876652
View: Figures

Figures

Image of FIG. 1.
FIG. 1.

(a) (×500) First frame with marked object. (b) (×500) A consecutive frame after a period of time.

Image of FIG. 2.
FIG. 2.

(a) Third type of capillary. (b) Blood extracted from (a). (c) FFT result of (b).

Image of FIG. 3.
FIG. 3.

(a) (×100) First type of capillary segmented by a line. (b) Gray distribution along a perpendicular line in (a). (c) Signals in (b) processed by Hanning filter. (d) (×100) Capillary segmented by three lines.

Image of FIG. 4.
FIG. 4.

(a) (×100) Velocity measured with short distance. (b) Correlation result of (a), where indicates the cross correlation. (c) (×100) Velocity measured with large distance. (d) Correlation result of (c), where indicates the cross correlation.

Image of FIG. 5.
FIG. 5.

Schematic rationale of image rotation.

Image of FIG. 6.
FIG. 6.

(a) Result of signal averaging of Fig. 2(c). (b) Result of Hanning filtering of (a).

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/content/aapm/journal/medphys/32/4/10.1118/1.1876652
2005-03-30
2014-04-21
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Measuring blood flow velocities based on three image processing techniques
http://aip.metastore.ingenta.com/content/aapm/journal/medphys/32/4/10.1118/1.1876652
10.1118/1.1876652
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