• DocumentCode
    471514
  • Title

    EIT Images with Improved Spatial Resolution Using a Realistic Head Model

  • Author

    Dong, Guoya ; Bayford, Richard ; Liu, Hesheng ; Zhou, Ying ; Yan, Weili

  • Author_Institution
    Joint Key Lab. of Electromagn. Field & Electr. Apparatus Reliability, Hebei Univ. of Technol., Tianjin
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 3 2006
  • Firstpage
    1134
  • Lastpage
    1137
  • Abstract
    A recursive algorithm is presented to improve the spatial resolution of 3-D Electrical Impedance Tomography (EIT) images in a four-shell realistic head model. In this algorithm, the low spatial resolution image derived from the standardized low resolution electromagnetic tomography algorithm (sLORETA) is chosen to be the initial estimate for the Focal Underdetermined System Solver (FOCUSS), and a shrinking strategy is adopted for adjusting the source space during iteration process in FOCUSS. Images are presented with improved spatial resolution and the algorithm effectiveness is verified on simulated data by setting two perturbations in the movement and visual regions of the brain
  • Keywords
    brain; electric impedance imaging; image reconstruction; image resolution; iterative methods; medical image processing; neurophysiology; physiological models; realistic images; recursive estimation; 3-D electrical impedance tomography; EIT image reconstruction; brain; focal underdetermined system solver; four-shell realistic head model; improved spatial resolution; iteration process; recursive algorithm; standardized low resolution electromagnetic tomography algorithm; Brain modeling; Cities and towns; Conductivity measurement; Focusing; Image reconstruction; Image resolution; Magnetic heads; Spatial resolution; Surface reconstruction; Tomography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
  • Conference_Location
    New York, NY
  • ISSN
    1557-170X
  • Print_ISBN
    1-4244-0032-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2006.259794
  • Filename
    4461956