USCT reference data base: Conclusions from the first SPIE USCT data challenge and future directions

Nicole V Ruiter, Michael Zapf, Torsten Hopp, Hartmut Gemmeke, Koen van Dongen, Jorge Camacho, Joaquín L. Herraiz, Mailyn Perez Liva, Jose Udías

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    4 Citations (Scopus)

    Abstract

    Ultrasound Computer Tomography is an exciting new technology mostly aimed at breast cancer imaging. Due to the complex interaction of ultrasound with human tissue, the large amount of raw data, and the large volumes of interest, both image acquisition and image reconstruction are challenging. Following the idea of open science, the long term goal of the USCT reference database is establishing open and easy to use data and code interfaces and stimulating the exchange of available reconstruction algorithms and raw data sets of different USCT devices. The database was established with freely available and open licensed USCT data for comparison of reconstruction algorithms, and will be maintained and updated. Additionally, the feedback about data and system architecture of the scientists working on reconstruction methods will be published to help to drive further development of the various measurement setups.
    Original languageEnglish
    Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
    Subtitle of host publicationMedical Imaging 2018 :Ultrasonic Imaging and Tomography
    EditorsN. Duric, B.C. Byram
    PublisherSPIE
    Number of pages7
    Volume10580
    DOIs
    Publication statusPublished - 2018
    EventSPIE Medical Imaging 2018: Image Processing - Houston, United States
    Duration: 10 Feb 201815 Feb 2018
    https://spie.org/conferences-and-exhibitions/past-conferences-and-exhibitions/medical-imaging-2018?SSO=1

    Conference

    ConferenceSPIE Medical Imaging 2018
    CountryUnited States
    CityHouston
    Period10/02/1815/02/18
    Internet address

    Keywords

    • Ultrasound computer tomography
    • data challenge
    • open science
    • open data

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