• DocumentCode
    534787
  • Title

    Time-frequency analysis of the thermoacoustic signals for early breast cancer detection

  • Author

    Guo, Yuanyue ; Wang, Meng ; Wang, Gang

  • Author_Institution
    Dept. of Electron. Eng. & Inf. Sci., Univ. of Sci. & Technol. of China, Hefei, China
  • Volume
    2
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    653
  • Lastpage
    656
  • Abstract
    The time-frequency(T-F) characteristics of the microwave-induced thermoacoustic signals generated from the tumors inside the breast are analyzed by Choi-Williams Distribution(CWD). The signals are simulated by finite-difference time-domain(FDTD) codes, with the semi-round breast model. The results indicate that round-shaped and ellipsoidal-shaped tumors with different sizes and shapes have different CWDs, and therefore, this T-F technique has the potential to detect different tumors and estimate its sizes and shapes, and become a new diagnostic method for early breast cancer.
  • Keywords
    biological organs; biomedical ultrasonics; biothermics; cancer; finite difference time-domain analysis; gynaecology; medical signal processing; microwave heating; microwave imaging; thermoacoustics; time-frequency analysis; tumours; Choi-Williams distribution; early breast cancer detection; ellipsoidal-shaped tumors; finite-difference time-domain codes; microwave-induced thermoacoustic signals; round-shaped tumors; time-frequency analysis; time-frequency characteristics; Brain modeling; Breast; Microwave theory and techniques; Shape; Time domain analysis; Time frequency analysis; Tumors; CWD; FDTD simulation; early breast cancer; microwave-induced thermoacoustic signal; time-frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6495-1
  • Type

    conf

  • DOI
    10.1109/BMEI.2010.5640050
  • Filename
    5640050