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

被引：14

作者：

Noble, Jack H. ^{[1
]}

Schuman, Theodore A. ^{[2
]}

Wright, Charles G. ^{[3
]}

Labadie, Robert F. ^{[2
]}

Dawant, Benoit M. ^{[1
]}

机构：

[1] Vanderbilt Univ, Dept Elect Engn & Comp Sci, 221 Kirkland Hall, Nashville, TN 37235 USA

[2] Vanderbilt Univ, Dept Otolaryngol Head & Neck Surg, Nashville, TN 37235 USA

[3] Southwestern Univ, Dept Otolaryngol, Dallas, TX 75390 USA

来源：

MEDICAL IMAGING 2011: IMAGE PROCESSING | 2011年 / 7962卷

关键词：

Cochlear Implant; Snake Segmentation; Contour Advance; CONTOUR;

D O I：

10.1117/12.878490

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

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