• DocumentCode
    80172
  • Title

    A Technique to Evaluate MRI-Induced Electric Fields at the Ends of Practical Implanted Lead

  • Author

    Shi Feng ; Rui Qiang ; Kainz, Wolfgang ; Ji Chen

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Houston, Houston, TX, USA
  • Volume
    63
  • Issue
    1
  • fYear
    2015
  • fDate
    Jan. 2015
  • Firstpage
    305
  • Lastpage
    313
  • Abstract
    This paper presents a novel technique for efficient evaluation of magnetic resonance imaging (MRI)-induced electric fields or induced voltages in the vicinity of implanted metallic leads. The technique is based on the reciprocity theorem in conjunction with the Huygens Principle. This approach allows one to decouple the micro-scale metallic lead simulation/measurement from the macro-level phantom human simulations within the MRI scanners. Consequently, the estimation of MRI-induced heating on an implanted lead, and the induced voltage on the pacemaker device can be greatly simplified. In addition, this method clearly explains the induced lead heating mechanism during MRI procedures. Several numerical examples, as well as measurement results are given to demonstrate the efficiency and accuracy of this method.
  • Keywords
    bioelectric phenomena; biomedical MRI; biomedical materials; lead; pacemakers; phantoms; Huygens principle; MRI scanners; MRI-induced electric fields; MRI-induced heating; Pb; implanted metallic leads; induced voltages; lead heating mechanism; macrolevel phantom human simulations; magnetic resonance imaging-induced electric fields; microscale metallic lead simulation-measurement; pacemaker device; practical implanted lead; reciprocity theorem; Coils; Computational modeling; Magnetic resonance imaging; Numerical models; Phantoms; Radio frequency; Transfer functions; Magnetic resonance imaging (MRI); pacemaker; reciprocity; transfer functions;
  • fLanguage
    English
  • Journal_Title
    Microwave Theory and Techniques, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9480
  • Type

    jour

  • DOI
    10.1109/TMTT.2014.2376523
  • Filename
    6977989