公开(公告)号：US10535133B2

公开(公告)日：2020-01-14

申请号：US15112164

申请日：2015-01-20

申请人： The Johns Hopkins University

发明人： Michael I. Miller ,  Susumu Mori ,  Xiaoying Tang

IPC分类号： G06T7/00 ,  G06T7/174 ,  A61B6/03 ,  G06K9/46 ,  A61B5/055 ,  G06T7/143 ,  G06T7/11 ,  G06T7/33 ,  A61B6/00 ,  A61B8/08 ,  G06K9/52 ,  G06K9/62

摘要： A computer-implemented method, system and non-transitory computer readable storage medium for classifying a region of interest of a subject, including receiving imaging data comprising at least one image element, the imaging data comprising the region of interest of the subject; providing a plurality of atlases, each of the plurality of atlases having a candidate region that corresponds to the region of interest of the imaging data, each of the plurality of atlases having at least one image element with associated location and property information; co-registering the plurality of atlases to the imaging data, using at least one processor; assigning a probability to generate a labeling parameter for the region of interest, the probability being associated with each atlas; and classifying the region of interest of the subject based on the assigning.

公开(公告)号：US20160343127A1

公开(公告)日：2016-11-24

申请号：US15112164

申请日：2015-01-20

申请人： THE JOHNS HOPKINS UNIVERSITY

发明人： Michael I. Miller ,  Susumu Mori ,  Xiaoying Tang

IPC分类号： G06T7/00 ,  A61B6/03 ,  G06K9/52 ,  A61B8/08 ,  G06K9/62 ,  G06K9/46 ,  A61B5/055 ,  A61B6/00

CPC分类号： G06T7/0012 ,  A61B5/055 ,  A61B6/032 ,  A61B6/037 ,  A61B6/5211 ,  A61B8/5215 ,  G06K9/4671 ,  G06K9/52 ,  G06K9/6267 ,  G06K2009/4666 ,  G06T7/11 ,  G06T7/143 ,  G06T7/174 ,  G06T7/33 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/10104 ,  G06T2207/20021 ,  G06T2207/20076 ,  G06T2207/20128 ,  G06T2207/30016

摘要： A computer-implemented method, system and non-transitory computer readable storage medium for classifying a region of interest of a subject, including receiving imaging data comprising at least one image element, the imaging data comprising the region of interest of the subject; providing a plurality of atlases, each of the plurality of atlases having a candidate region that corresponds to the region of interest of the imaging data, each of the plurality of atlases having at least one image element with associated location and property information; co-registering the plurality of atlases to the imaging data, using at least one processor; assigning a probability to generate a labeling parameter for the region of interest, the probability being associated with each atlas; and classifying the region of interest of the subject based on the assigning.

摘要翻译： 一种计算机实现的方法，系统和非暂时计算机可读存储介质，用于分类对象的感兴趣区域，包括接收包括至少一个图像元素的成像数据，所述成像数据包括所述对象的感兴趣区域; 提供多个图集，所述多个图集中的每一个具有对应于所述成像数据的所述感兴趣区域的候选区域，所述多个图集中的每一个具有至少一个具有关联位置和属性信息的图像元素; 使用至少一个处理器将所述多个图集共同对准所述成像数据; 为所述感兴趣区域分配生成标识参数的概率，与每个图集相关联的概率; 并根据分配对主体感兴趣的区域进行分类。