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Gross feature recognition of anatomical images based on atlas grid

机译:基于地图集网格的解剖图像总体特征识别

摘要

Computer systems, computer-implemented methods, and non-transitory computer readable storage media for gross feature recognition including receiving an image comprising a plurality of image elements representing the region of interest of the subject. Gross feature recognition can further include co-registering the image to an atlas to segment the plurality of image elements into a plurality of sub-regions corresponding to structures in the atlas, where the structures in the atlas are ordered in a first rank order according to a predetermined feature. Further included can be ordering the plurality of sub-regions in a second rank order according to the predetermined feature. Further included can be identifying as gross features one or more of the plurality of sub-regions whose positions in the first rank order of the ordered sub-regions differ from positions in the second rank order of the corresponding ordered structures in the atlas.
机译:用于总体特征识别的计算机系统,计算机实现的方法和非暂时性计算机可读存储介质,包括接收包括代表对象感兴趣区域的多个图像元素的图像。总体特征识别可以进一步包括:将图像共配准到地图集,以将多个图像元素分割成与该地图集中的结构相对应的多个子区域,其中根据第一等级顺序对地图集中的结构进行排序。预定功能。还可以包括根据预定特征以第二等级顺序对多个子区域进行排序。还可以包括将多个子区域中的一个或多个子区域识别为总体特征,所述多个子区域中在有序子区域的第一等级顺序中的位置与在图集中的相应有序结构的第二等级顺序中的位置不同。

著录项

  • 公开/公告号US10147189B2

    专利类型

  • 公开/公告日2018-12-04

    原文格式PDF

  • 申请/专利权人 THE JOHNS HOPKINS UNIVERSITY;

    申请/专利号US201415101779

  • 申请日2014-12-08

  • 分类号G06K9;G06T7;A61B5/055;A61B5;A61B6/03;A61B8;G06T7/33;G06T7/11;

  • 国家 US

  • 入库时间 2022-08-21 12:07:41

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