Active control of microbubbles stream in multi-bifurcated flow by using 2D phased array ultrasound transducer

Ren Koda, Jun Koido, Naoto Hosaka, Takumi Ito, Shinya Onogi, Takashi Mochizuki, Kohji Masuda, Seiichi Ikeda, Fumihito Arai

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    We have previously reported our attempt to propel microbbles in flow by a primary Bjerknes force, which is a physical phenomenon where an acoustic wave pushes an obstacle along its direction of propagation. However, when ultrasound was emitted from surface of the body, controlling bubbles in against flow was needed. It is unpractical to use multiple transducers to produce the same number of focal points because single element transducer cannot produce more than two focal points. In this study, we introduced a complex artificial blood vessel according to a capillary model and a 2D array transducer to produce multiple focal points for active control of microbubbles in against flow. Furthermore, we investigated bubble control in viscous fluid. As the results, we confirmed clearly path selection of MBs in viscous fluid as well as in water.

    Original languageEnglish
    Title of host publication2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
    Pages6277-6280
    Number of pages4
    DOIs
    Publication statusPublished - Oct 31 2013
    Event2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 - Osaka, Japan
    Duration: Jul 3 2013Jul 7 2013

    Publication series

    NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
    ISSN (Print)1557-170X

    Other

    Other2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
    Country/TerritoryJapan
    CityOsaka
    Period7/3/137/7/13

    All Science Journal Classification (ASJC) codes

    • Signal Processing
    • Biomedical Engineering
    • Computer Vision and Pattern Recognition
    • Health Informatics

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