Wavelet Regularized Born Inversion

Thomas G.J. Bouchan, Ulas Taskin, Koen W.A. Van Dongen

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

    Abstract

    Breast ultrasound is gaining interest as an alternative to mammography. To improve its diagnostic value, full waveform inversion methods are developed. These methods aim for reconstructing speed of sound maps of the breast. When the inversion is performed in the frequency domain, computation time is reduced by limiting the number of frequency components at the cost of retrieving noisy images. To compensate for the lack of frequency information and to reduce the noise in the reconstruction, we propose two solutions. First, we select the frequency components randomly out of the entire available bandwidth for each source-receiver combination separately. Next, a regularization method is applied that takes advantage of the sparseness of the reconstructed contrast in the wavelet domain.

    Original languageEnglish
    Title of host publication2019 IEEE International Ultrasonics Symposium, IUS 2019
    EditorsSandy Cochran, Margaret Lucas
    PublisherIEEE
    Pages1855-1858
    Volume2019-October
    ISBN (Electronic)9781728145969
    DOIs
    Publication statusPublished - 2019
    Event2019 IEEE International Ultrasonics Symposium, IUS 2019 - Glasgow, United Kingdom
    Duration: 6 Oct 20199 Oct 2019

    Conference

    Conference2019 IEEE International Ultrasonics Symposium, IUS 2019
    CountryUnited Kingdom
    CityGlasgow
    Period6/10/199/10/19

    Keywords

    • Born inversion
    • breast ultrasound
    • wavelet regularization

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