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Automatic aortic detection and segmentation in three-dimensional image data

机译:三维图像数据中的主动脉自动检测和分割

摘要

A method including searching image data corresponding to a series of axial image slices with a processor, searching axial image slices from a starting image slice and calculating a confidence score that an image slice includes a cross-section image of an aorta, identifying an image slice containing at least one seed disk, including an ascending aorta seed disk, from candidate image slices identified according to the confidence score, and growing a 3D segmentation of the ascending aorta by stacking ascending aorta image disks included in consecutive image slices beginning from the ascending aorta seed disk.
机译:一种方法,包括:使用处理器搜索与一系列轴向图像切片相对应的图像数据;从起始图像切片中搜索轴向图像切片;以及计算图像切片包括主动脉的横截面图像的置信度得分;识别图像切片从根据置信度得分确定的候选图像切片中包含至少一个种子盘(包括升主动脉种子盘),并通过堆叠从升主动脉开始的连续图像切片中包含的升主动脉图像盘,对升主动脉进行3D分割种子盘。

著录项

  • 公开/公告号US8335366B2

    专利类型

  • 公开/公告日2012-12-18

    原文格式PDF

  • 申请/专利权人 SAMUEL W. PETERSON;MAREK BREJL;

    申请/专利号US201113173964

  • 发明设计人 SAMUEL W. PETERSON;MAREK BREJL;

    申请日2011-06-30

  • 分类号G06K9/00;

  • 国家 US

  • 入库时间 2022-08-21 16:45:07

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