Reconstruction of three-dimensional blood vessel network using multiple ultrasound volumes constructed by weighted fusion between B-mode and Doppler-mode

Kohji Masuda, Tomoki Yamashita, Takuya Katai, Takashi Mochizuki, Shinya Onogi, Yoshihiro Edamoto

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

    Abstract

    We have previously proposed the use of acoustic microbubble delivery in blood vessels to improve the efficacy of acoustic targeted drug therapy. The technical requirement is the detailed visualization of the blood vessel network (BVN) for navigation around a target such as a tumor. To obtain the accurate shape of BVN for this purpose, we have experienced a problem of expansion and deficiency in 3D Doppler-mode volumes. Therefore, we have proposed a new BVN reconstruction method by fusing B-mode and Doppler-mode volumes, which were acquired simultaneously in the same coordinate space, considering the weight coefficient in each volume. In this presentation, we introduce the accuracy improvement to extract the weight coefficients.

    Original languageEnglish
    Title of host publication2017 IEEE International Ultrasonics Symposium, IUS 2017
    PublisherIEEE Computer Society
    ISBN (Electronic)9781538633830
    DOIs
    Publication statusPublished - Oct 31 2017
    Event2017 IEEE International Ultrasonics Symposium, IUS 2017 - Washington, United States
    Duration: Sep 6 2017Sep 9 2017

    Publication series

    NameIEEE International Ultrasonics Symposium, IUS
    ISSN (Print)1948-5719
    ISSN (Electronic)1948-5727

    Other

    Other2017 IEEE International Ultrasonics Symposium, IUS 2017
    CountryUnited States
    CityWashington
    Period9/6/179/9/17

    All Science Journal Classification (ASJC) codes

    • Acoustics and Ultrasonics

    Fingerprint Dive into the research topics of 'Reconstruction of three-dimensional blood vessel network using multiple ultrasound volumes constructed by weighted fusion between B-mode and Doppler-mode'. Together they form a unique fingerprint.

    Cite this