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METHODS FOR AUTOMATIC SEGMENTATION OF INNER EAR ANATOMY IN POST-IMPLANTATION CT AND APPLICATIONS OF SAME

机译:植入后CT和应用中内耳解剖学自动分割的方法及其应用

摘要

A method for automatic segmentation of intra-cochlear anatomy in post-implantation CT image of bilateral cochlear implant recipients includes coarsely segmenting a labyrinth with a labyrinth surface chosen from a library of inner ear anatomy shapes; creating a target specific ASM for each of the labyrinth and the SOIs using a set of inner ear anatomy surfaces selected from the library of inner ear anatomy shapes such that the set of inner ear anatomy surfaces has the smallest dissimilarity quantity with the coarsely localized labyrinth surface in the post-implantation CT image; refining the coarsely segmented labyrinth surface by performing an ASM-based segmentation of the labyrinth using the target-specific ASM of the labyrinth to obtain a segmented labyrinth; and fitting the points of the target-specific ASM of the SOIs to their corresponding points on the segmented labyrinth to segment the SOIs in the post-implantation CT image.
机译:双侧耳蜗植入物接受者的植入后CT图像中的耳蜗内解剖学的自动分段方法包括粗留下迷宫,迷宫表面选自内耳解剖结构文库;使用从内耳解剖结构库中选择的一组内耳解剖表面来为每个迷宫和SOI创建目标特定ASM,使得该组内耳解剖表面具有与粗糙的局部迷宫表面具有最小的不相似量在植入后CT图像;通过使用迷宫的靶特异性ASM进行迷宫的基于迷宫的基于ASM的分割来精制粗型迷宫表面,得到分段迷宫;并将SOI的目标特异性ASM的点拟合到它们的分段迷宫上的对应点,以在植入后CT图像中分割SOIS。

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