• DocumentCode
    1763104
  • Title

    Image-Guidance Enables New Methods for Customizing Cochlear Implant Stimulation Strategies

  • Author

    Noble, Jack H. ; Labadie, Robert F. ; Gifford, Renea H. ; Dawant, Benoit M.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Vanderbilt Univ., Nashville, TN, USA
  • Volume
    21
  • Issue
    5
  • fYear
    2013
  • fDate
    Sept. 2013
  • Firstpage
    820
  • Lastpage
    829
  • Abstract
    Over the last 20 years, cochlear implants (CIs) have become what is arguably the most successful neural prosthesis to date. Despite this success, a significant number of CI recipients experience marginal hearing restoration, and, even among the best performers, restoration to normal fidelity is rare. In this paper, we present image processing techniques that can be used to detect, for the first time, the positions of implanted CI electrodes and the nerves they stimulate for individual CI users. These techniques permit development of new, customized CI stimulation strategies. We present one such strategy and show that it leads to significant hearing improvement in an experiment conducted with 11 CI recipients. These results indicate that image-guidance can be used to improve hearing outcomes for many existing CI recipients without requiring additional surgical procedures.
  • Keywords
    biomedical electrodes; cochlear implants; medical image processing; cochlear implant stimulation strategy; hearing restoration; image processing; image-guidance; implanted CI electrodes; neural prosthesis; surgical procedure; Arrays; Auditory system; Computational modeling; Computed tomography; Electrodes; Image segmentation; Shape; Auditory nerve; cochlear implant; image-guidance; spiral ganglion; stimulation strategy; Algorithms; Cochlea; Cochlear Implants; Electric Stimulation; Electrodes; Humans; Image Processing, Computer-Assisted; Models, Anatomic; Prosthesis Design; Spiral Ganglion; Tomography Scanners, X-Ray Computed; Tomography, X-Ray Computed;
  • fLanguage
    English
  • Journal_Title
    Neural Systems and Rehabilitation Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1534-4320
  • Type

    jour

  • DOI
    10.1109/TNSRE.2013.2253333
  • Filename
    6482251