• DocumentCode
    231778
  • Title

    An integrated simulation approach for contrast-enhanced microwave induced thermo-acoustic tomography

  • Author

    Jian Song ; Zhiqin Zhao

  • Author_Institution
    Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2014
  • fDate
    19-23 Oct. 2014
  • Firstpage
    1105
  • Lastpage
    1110
  • Abstract
    Microwave induced thermo-acoustic tomography (MITAT) has great potential in early breast cancer detection because it combines the advantages of microwave imaging and ultrasound imaging. Many developments of MITAT including hardware and image reconstructed methods have been achieved. In these achievements, accuracy and efficient simulations are necessary. The simulations can provide the anticipation for the progress and evaluate the performance of the developments. In this paper, considering the multiple physical characters of MITAT, an integrated simulation approach which combines finite integration time domain (FITD) and k-space pseudo-spectral (PS) method is proposed for the heterogeneous thermo-acoustic imaging. For evaluating the effectiveness of carbon nanotubes for the contrast-enhanced thermo-acoustic imaging, a simulation for the breast cancer detection is performed.
  • Keywords
    acoustic tomography; cancer; carbon nanotubes; image enhancement; image reconstruction; integration; medical image processing; microwave imaging; nanomedicine; time-domain analysis; tumours; ultrasonic imaging; C; carbon nanotubes; contrast-enhanced microwave induced thermo-acoustic tomography; contrast-enhanced thermo-acoustic imaging; early breast cancer detection; finite integration time domain method; hardware; heterogeneous thermo-acoustic imaging; image reconstructed methods; integrated simulation approach; k-space pseudospectral method; microwave imaging; multiple physical characters; ultrasound imaging; Acoustics; Mathematical model; Microwave imaging; Microwave theory and techniques; Numerical models; Time-domain analysis; Tumors; MITAT; Simulation approach; contrast enhancement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2014 12th International Conference on
  • Conference_Location
    Hangzhou
  • ISSN
    2164-5221
  • Print_ISBN
    978-1-4799-2188-1
  • Type

    conf

  • DOI
    10.1109/ICOSP.2014.7015174
  • Filename
    7015174