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
Link To Document