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Method and apparatus for fully automated segmentation of joint using patient-specific optimal thresholding and watershed algorithm

机译:使用特定于患者的最佳阈值和分水岭算法对关节进行全自动分割的方法和装置

摘要

Disclosed are a method and apparatus for fully automatically segmenting a joint based on a patient-specific optimal thresholding method and a watershed algorithm. The method of fully automatically segmenting an image may include the steps of extracting region information corresponding to a target object to be segmented from a medical image of the target object by associating a thresholding method and a load path algorithm, generating a first mask MASK 1 based on the extracted region information, generating a morphological patch by performing morphological subdivision on the medical image based on a watershed algorithm, generating a second mask MASK 2 based on the generated morphological patch, and segmenting an image corresponding to the target object from the medical image based on the first mask and the second mask.
机译:公开了一种基于患者特定的最佳阈值化方法和分水岭算法来完全自动分割关节的方法和装置。全自动分割图像的方法可以包括以下步骤:通过将阈值方法和加载路径算法相关联,从目标对象的医学图像中提取与要分割的目标对象相对应的区域信息,生成第一掩模MASK 1 基于提取的区域信息,通过基于分水岭算法对医学图像执行形态细分来生成形态斑块,并基于生成的形态斑块生成第二个蒙版MASK 2 以及基于第一掩模和第二掩模从医学图像中分割与目标对象相对应的图像。

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