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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
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/content/aapm/journal/medphys/32/4/10.1118/1.1876652
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/content/aapm/journal/medphys/32/4/10.1118/1.1876652
2005-03-30
2014-11-24
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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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