• DocumentCode
    1010621
  • Title

    Modeling of noninvasive microwave characterization of breast tumors

  • Author

    Huo, Y. ; Bansal, Rajeev ; Zhu, Q.

  • Author_Institution
    Electr. & Comput. Eng. Dept., Univ. of Connecticut, Storrs, CT, USA
  • Volume
    51
  • Issue
    7
  • fYear
    2004
  • fDate
    7/1/2004 12:00:00 AM
  • Firstpage
    1089
  • Lastpage
    1094
  • Abstract
    This paper describes an approach for the noninvasive microwave characterization of tumors in breast tissue. Tumors are modeled as lossy dielectric targets. Their complex natural resonances (CNR) can be extracted from the time-domain response and correlated with diagnostically useful properties. Finite-difference time-domain simulation is used to obtain the time-domain response from a tumor with a short electromagnetic pulse as an input. The normal breast tissue and tumor are modeled as dispersive media using the Debye model and CNRs are extracted using Prony´s method. It is shown that the locations of the dominant CNRs are separated in the complex frequency plane as functions of the tumor dielectric properties. The technique has potential as a diagnostic tool to characterize breast lesions in conjunction with other imaging modalities such as ultrasound for detection.
  • Keywords
    bioelectric phenomena; biological organs; biomedical imaging; dielectric resonance; finite difference time-domain analysis; microwave imaging; tumours; Debye model; Prony method; breast lesions; breast tumors; complex natural resonances; diagnostic tool; finite difference time-domain simulations; lossy dielectric targets; noninvasive microwave characterization; short electromagnetic pulse; time-domain response; tumor dielectric properties; Breast neoplasms; Breast tissue; Breast tumors; Dielectric losses; Dispersion; EMP radiation effects; Finite difference methods; Resonance; Time domain analysis; Ultrasonic imaging; Algorithms; Breast; Breast Neoplasms; Computer Simulation; Diagnosis, Computer-Assisted; Electric Impedance; Electromagnetic Fields; Humans; Microwaves; Models, Biological; Reproducibility of Results; Sensitivity and Specificity;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2004.827956
  • Filename
    1306561