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Noble JH, Schuman TA, Wright CG, et al. Automatic Identification of Cochlear Implant Electrode Arrays for Post-Operative Assessment. Proc SPIE Int Soc Opt Eng. 2011;7962doi: 10.1117/12.878490.
Noble, J. H., Schuman, T. A., Wright, C. G., Labadie, R. F., & Dawant, B. M. (2011). Automatic Identification of Cochlear Implant Electrode Arrays for Post-Operative Assessment. Proceedings of SPIE--the International Society for Optical Engineering, 7962. https://doi.org/10.1117/12.878490
Noble, Jack H, et al. "Automatic Identification of Cochlear Implant Electrode Arrays for Post-Operative Assessment." Proceedings of SPIE--the International Society for Optical Engineering vol. 7962 (2011). doi: https://doi.org/10.1117/12.878490
Noble JH, Schuman TA, Wright CG, Labadie RF, Dawant BM. Automatic Identification of Cochlear Implant Electrode Arrays for Post-Operative Assessment. Proc SPIE Int Soc Opt Eng. 2011;7962. doi: 10.1117/12.878490. PMID: 26041945; PMCID: PMC4450802.
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Proc SPIE Int Soc Opt Eng. 2011;7962. doi: 10.1117/12.878490.

Automatic Identification of Cochlear Implant Electrode Arrays for Post-Operative Assessment.

Proceedings of SPIE--the International Society for Optical Engineering

Jack H Noble, Theodore A Schuman, Charles G Wright, Robert F Labadie, Benoit M Dawant

Affiliations

  1. Dept. of Electrical Engineering and Comp. Science, Vanderbilt University, Nashville, TN 37235, USA.
  2. Dept. of Otolaryngology-Head & Neck Surgery, Vanderbilt University, Nashville, TN 37235, USA.
  3. Dept. of Otolaryngology, Southwestern University, Dallas, TX 75390, USA.

PMID: 26041945 PMCID: PMC4450802 DOI: 10.1117/12.878490

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.

Keywords: Cochlear Implant; Contour Advance; Snake Segmentation

References

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Publication Types

Grant support