• DocumentCode
    1771919
  • Title

    Ultrafast acoustoelectric imaging

  • Author

    Provost, Jean ; Kwiecinski, Wojciech ; Fink, Mathias ; Tanter, Mickael ; Pernot, Mathieu

  • Author_Institution
    Inst. Langevin, ESPCI ParisTech, Paris, France
  • fYear
    2014
  • fDate
    April 29 2014-May 2 2014
  • Firstpage
    702
  • Lastpage
    705
  • Abstract
    Imaging the electrical activity of the body is central to the diagnosis of and treatment planning for some of our most pressing healthcare challenges, including heart and brain diseases. The acoustoelectric effect has recently been shown to provide contrast directly from current densities by measuring ultrasound-modulated electrical impedance in the heart. While promising, these approaches, based on focused emission at low frequency, result in limited signal-to-noise ratios (SNR), and temporal and spatial resolutions. In this study, we developed Ultrafast Acoustoelectric Tomography (UAT), based on plane wave emissions, which provides high frame rates and uniformly high spatial and temporal resolutions. We developed a novel reconstruction approach for UAT and demonstrated its feasibility in phantom experiments at current density levels similar to the ones occurring naturally in vivo, indicating that UAT could become a unique technique to map current density distributions in tissues and image their propagation at very high frame rates.
  • Keywords
    bioelectric phenomena; biomedical ultrasonics; cardiology; diseases; phantoms; acoustoelectric effect; body electrical activity; brain disease; density distribution; heart disease; phantom; plane wave emission; treatment planning; ultrafast acoustoelectric imaging; ultrafast acoustoelectric tomography; ultrasound-modulated electrical impedance; Bandwidth; Current density; Image reconstruction; Imaging; Signal to noise ratio; Transforms; Ultrasonic imaging; Acoustoelectric Imaging; Current density imaging; Plane wave imaging; Ultrafast imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/ISBI.2014.6867967
  • Filename
    6867967