公开(公告)号：US10102441B2

公开(公告)日：2018-10-16

申请号：US15116012

申请日：2015-01-30

Applicant: Vanderbilt University

Inventor： Fitsum A. Reda ,  Jack H. Noble ,  Benoit Dawant ,  Robert F. Labadie

IPC: G06K9/00 ,  G06K9/34 ,  A61B6/03 ,  A61B6/12 ,  A61B6/00 ,  G06K9/46 ,  G06K9/62 ,  A61N1/36

Abstract: 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.

公开(公告)号：US09589361B2

公开(公告)日：2017-03-07

申请号：US14766402

申请日：2014-02-07

Applicant: Vanderbilt University

Inventor： Fitsum A. Reda ,  Jack H. Noble ,  Benoit Dawant ,  Robert F. Labadie

IPC: G06K9/00 ,  G06T7/00 ,  A61B6/03 ,  A61B6/00 ,  H04N19/426 ,  G06T3/00 ,  G06T3/40 ,  A61N1/05

CPC classification number: G06T7/12 ,  A61B6/03 ,  A61B6/50 ,  A61B6/5211 ,  A61N1/0541 ,  G06T3/00 ,  G06T3/40 ,  G06T7/0014 ,  G06T7/149 ,  G06T7/174 ,  G06T7/30 ,  G06T2207/10081 ,  G06T2207/20016 ,  G06T2207/20081 ,  G06T2207/20124 ,  G06T2207/20128 ,  G06T2207/20132 ,  G06T2207/30052 ,  H04N19/428

Abstract: A method for automatic segmentation of intra-cochlear anatomy of a patient. The patient has an implanted ear and a normal contralateral ear. At least one computed tomography (CT) image is obtained to generate a first image corresponding to the normal contralateral ear and a second image corresponding to the implanted ear. Intra-cochlear surfaces of at least one first structure of interest (SOI) of the normal contralateral ear in the first image are segmented using at least one active shape model (ASM). Next, the segmented intra-cochlear surfaces in the first image is projected to the second image using a transformation function, thereby obtaining projected segmented intra-cochlear surfaces for the implanted ear in the second image.

Abstract translation: 一种用于患者的耳蜗解剖结构的自动分割的方法。 患者具有植入的耳朵和正常的对侧耳朵。 获得至少一个计算机断层摄影（CT）图像以产生对应于正常对侧耳朵的第一图像和对应于植入耳朵的第二图像。 使用至少一个活动形状模型（ASM）来分割第一图像中正常对侧耳朵的至少一个第一兴趣结构（SOI）的耳蜗内表面。 接下来，使用变换函数将第一图像中的分段的耳蜗内表面投影到第二图像，从而获得用于第二图像中的植入耳朵的投影的分段的耳蜗内表面。