• DocumentCode
    76314
  • Title

    An Image Reconstruction Algorithm for 3-D Electrical Impedance Mammography

  • Author

    Xiaolin Zhang ; Wei Wang ; Sze, Gerald ; Barber, David ; Chatwin, Chris

  • Author_Institution
    Dept. of Eng., Univ. of Sussex, Brighton, UK
  • Volume
    33
  • Issue
    12
  • fYear
    2014
  • fDate
    Dec. 2014
  • Firstpage
    2223
  • Lastpage
    2241
  • Abstract
    The Sussex MK4 electrical impedance mammography system is especially designed for 3-D breast screening. It aims to diagnose breast cancer at an early stage when it is most treatable. Planar electrodes are employed in this system. The challenge with planar electrodes is the inaccuracy and poor sensitivity in the vertical direction for 3-D imaging. An enhanced image reconstruction algorithm using a duo-mesh method is proposed to improve the vertical accuracy and sensitivity. The novel part of the enhanced image reconstruction algorithm is the correction term. To evaluate the new algorithm, an image processing based error analysis method is presented, which not only can precisely assess the error of the reconstructed image but also locate the center and outline the center and outline the shape of the objects of interest. Although the enhanced image reconstruction algorithm and the image processing based error analysis method are designed for the Sussex MK4 system, they are applicable to all electrical impedance tomography systems, regardless of the hardware design. To validate the enhanced algorithm, performance results from simulations, phantoms and patients are presented.
  • Keywords
    biological tissues; biomedical electrodes; cancer; data acquisition; edge detection; electric impedance imaging; error analysis; image enhancement; image reconstruction; mammography; medical image processing; mesh generation; phantoms; tomography; 3D breast screening; 3D electrical impedance mammography; 3D imaging; Sussex MK4 electrical impedance mammography system; correction term; duo-mesh method; early stage breast cancer diagnosis; electrical impedance tomography system; enhanced image reconstruction algorithm; hardware design; image processing based error analysis; mammography system design; object center outlining; object shape outlining; phantom; planar electrode vertical accuracy; planar electrode vertical sensitivity; reconstructed image error assessment; simulation; Area measurement; Conductivity; Current measurement; Electrodes; Image reconstruction; Impedance; Voltage measurement; Breast cancer screening; electrical impedance mammography (EIM); electrical impedance tomography (EIT); error analysis; finite element method (FEM); image processing; inverse problem;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/TMI.2014.2334475
  • Filename
    6847141