• DocumentCode
    184468
  • Title

    Tumor response extraction based on ensemble empirical mode decomposition for early breast cancer detection by UWB

  • Author

    Qinwei Li ; Xia Xiao ; Hang Song ; Liang Wang ; Kikkawa, T.

  • Author_Institution
    Sch. of Electron. Inf. Eng., Tianjin Univ., Tianjin, China
  • fYear
    2014
  • fDate
    22-24 Oct. 2014
  • Firstpage
    97
  • Lastpage
    100
  • Abstract
    Ultra wide-band (UWB) microwave imaging technique is very promising in detecting the early breast cancer. In previous studies, the tumor-free model was always needed to help extract the calibration waveform, which cannot be obtained directly in the real clinical detection. In this paper, to solve this problem, a novel signal processing method based on ensemble empirical mode decomposition (EEMD) is proposed to extract the tumor response. This approach is crucial to extract the tumor response directly from the detected signals in the actual clinical diagnosis, as it does not need the tumor-free model at all. The feasibility of using this method to extract the tumor response signal without the tumor-free model is explained in the reconstructed breast image, which shows the correct tumor information.
  • Keywords
    cancer; feature extraction; image reconstruction; medical image processing; microwave imaging; physiological models; tumours; ultra wideband technology; EEMD; UWB; actual clinical diagnosis; breast image reconstruction; calibration waveform extraction; early breast cancer detection; ensemble empirical mode decomposition; real clinical detection; signal processing method; tumor information; tumor response extraction; tumor-free model; ultra wideband microwave imaging technique; Breast cancer; Empirical mode decomposition; Imaging; Receiving antennas; Signal processing algorithms; Tumors; Breast cancer detection; EEMD; Tumor response extraction; UWB;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Circuits and Systems Conference (BioCAS), 2014 IEEE
  • Conference_Location
    Lausanne
  • Type

    conf

  • DOI
    10.1109/BioCAS.2014.6981654
  • Filename
    6981654