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Proceedings Paper

Automatic identification of cochlear implant electrode arrays for post-operative assessment
Author(s): Jack H. Noble; Theodore A. Schuman; Charles G. Wright; Robert F. Labadie; Benoit M. Dawant
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Paper Abstract

Cochlear implantation is a procedure performed to treat profound hearing loss. Accurately determining the postoperative position of the implant in vivo would permit studying the correlations between implant position and hearing restoration. To solve this problem, we present an approach based on parametric Gradient Vector Flow snakes to segment the electrode array in post-operative CT. By combining this with existing methods for localizing intra-cochlear anatomy, we have developed a system that permits accurate assessment of the implant position in vivo. The system is validated using a set of seven temporal bone specimens. The algorithms were run on pre- and post-operative CTs of the specimens, and the results were compared to histological images. It was found that the position of the arrays observed in the histological images is in excellent agreement with the position of their automatically generated 3D reconstructions in the CT scans.

Paper Details

Date Published: 11 March 2011
PDF: 10 pages
Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 796217 (11 March 2011); doi: 10.1117/12.878490
Show Author Affiliations
Jack H. Noble, Vanderbilt Univ. (United States)
Theodore A. Schuman, Vanderbilt Univ. (United States)
Charles G. Wright, Southwestern Univ. (United States)
Robert F. Labadie, Vanderbilt Univ. (United States)
Benoit M. Dawant, Vanderbilt Univ. (United States)

Published in SPIE Proceedings Vol. 7962:
Medical Imaging 2011: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

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