Development of an ultrasound system for measuring tissue strain of lymphedema

Masayoshi Tsubai, Osamu Fukuda, Naohiro Ueno, Takao Horie, Satoshi Muraki

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

    5 Citations (Scopus)

    Abstract

    This paper develops a portable measurement system for tissue strain distribution using ultrasonic pulse echo method. A single element ultrasonic transducer attached to a force sensor compresses biological tissue and observes the deformation process of the tissue. The center frequency of the ultrasound pulse is 3 MHz. The force applied to the tissue is kept at 10 N by an internal coil spring. Received echo signals are transferred to a personal computer via Universal Serial Bus. The developed measurement system was applied to measuring strain of subcutaneous fat for lymphedema patients and healthy subjects. The results quantified the fact that affected tissue becomes harder than unaffected tissue. Our experiment demonstrated that the system can be used for evaluating the condition of lymphedema with measurement of strain in subcutaneous tissue.

    Original languageEnglish
    Title of host publicationProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
    PublisherIEEE Computer Society
    Pages5294-5297
    Number of pages4
    ISBN (Print)9781424418152
    DOIs
    Publication statusPublished - 2008
    Event30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - Vancouver, BC, Canada
    Duration: Aug 20 2008Aug 25 2008

    Publication series

    NameProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

    Other

    Other30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
    Country/TerritoryCanada
    CityVancouver, BC
    Period8/20/088/25/08

    All Science Journal Classification (ASJC) codes

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

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