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

机译:用于手术后评估的人工耳蜗植入电极阵列的自动识别

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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.
机译:人工耳蜗植入是治疗深度听力损失的一种方法。准确地确定植入物在体内的术后位置将允许研究植入物位置与听力恢复之间的相关性。为了解决这个问题,我们提出了一种基于参数梯度矢量流蛇的方法,以在术后CT中分割电极阵列。通过将其与用于定位耳蜗内解剖结构的现有方法相结合,我们开发了一种系统,可以准确评估体内植入物的位置。该系统使用一组七个颞骨标本进行了验证。该算法在标本的术前和术后CT上运行,并将结果与​​组织学图像进行比较。已经发现,在组织学图像中观察到的阵列的位置与它们在CT扫描中自动生成的3D重建物的位置非常一致。

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