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公开(公告)号：US20150086101A1
公开(公告)日：2015-03-26
申请号：US14496639
申请日：2014-09-25
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Roshni Bhagalia , Qi Song , Albert Amos Montillo
CPC classification number: A61B6/5241 , A61B6/032 , A61B6/463 , A61B6/469 , A61B6/488 , A61B6/503 , A61B6/542 , G06K2009/4666 , G06K2209/051
Abstract: In some embodiments, a method for localizing organs in anatomical imaging may include: performing an anterior-posterior view scan and a lateral view scan to create an anterior-posterior view scan image and a lateral view scan image; creating a joint anatomical model based on the anterior-posterior scan image and the lateral view scan image; and refining the joint anatomical model.
Abstract translation: 在一些实施例中，用于在解剖学成像中定位器官的方法可以包括：执行前 - 后视图扫描和侧视图扫描以创建前 - 后视图扫描图像和侧视图扫描图像; 基于前后扫描图像和侧视图扫描图像创建关节解剖模型; 并完善关节解剖模型。
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公开(公告)号：US20140294276A1
公开(公告)日：2014-10-02
申请号：US13852781
申请日：2013-03-28
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Qi Song , Srikrishnan V , Roshni Rustom Bhagalia , Biqul Das
IPC: G06T7/00
CPC classification number: G06T7/0046 , G06K9/621 , G06K2009/366 , G06K2209/051 , G06T7/0012 , G06T7/75 , G06T2207/10072 , G06T2207/10136 , G06T2207/20081 , G06T2207/30004
Abstract: A hierarchical multi-object active appearance model (AAM) framework is disclosed for processing image data, such as localizer or scout image data. In accordance with this approach, a hierarchical arrangement of models (e.g., a model pyramid) maybe employed where a global or parent model that encodes relationships across multiple co-located structures is used to obtain an initial, coarse fit. Subsequent processing by child sub-models add more detail and flexibility to the overall fit.
Abstract translation: 公开了一种用于处理诸如定位器或侦察图像数据的图像数据的分级多对象主动外观模型（AAM）框架。 根据这种方法，可以使用模型（例如，模型金字塔）的分层布置，其中使用编码跨多个同位置结构的关系的全局或父模型来获得初始粗匹配。 儿童子模型的后续处理增加了整体配合的更多细节和灵活性。
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公开(公告)号：US09355454B2
公开(公告)日：2016-05-31
申请号：US13852781
申请日：2013-03-28
Applicant: General Electric Company
Inventor： Qi Song , Srikrishnan V , Roshni Rustom Bhagalia , Bipul Das
CPC classification number: G06T7/0046 , G06K9/621 , G06K2009/366 , G06K2209/051 , G06T7/0012 , G06T7/75 , G06T2207/10072 , G06T2207/10136 , G06T2207/20081 , G06T2207/30004
Abstract: A hierarchical multi-object active appearance model (AAM) framework is disclosed for processing image data, such as localizer or scout image data. In accordance with this approach, a hierarchical arrangement of models (e.g., a model pyramid) maybe employed where a global or parent model that encodes relationships across multiple co-located structures is used to obtain an initial, coarse fit. Subsequent processing by child sub-models add more detail and flexibility to the overall fit.
Abstract translation: 公开了一种用于处理诸如定位器或侦察图像数据的图像数据的分级多对象主动外观模型（AAM）框架。 根据这种方法，可以使用模型（例如，模型金字塔）的分层布置，其中使用编码跨多个同位置结构的关系的全局或父模型来获得初始粗匹配。 儿童子模型的后续处理增加了整体配合的更多细节和灵活性。
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