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公开(公告)号：US20080037852A1
公开(公告)日：2008-02-14
申请号：US11782694
申请日：2007-07-25
申请人： Xiang Zhou , Alok Gupta , Arun Krishnan , Jorg Freund , Dorin Comaniciu
发明人： Xiang Zhou , Alok Gupta , Arun Krishnan , Jorg Freund , Dorin Comaniciu
IPC分类号： G06K9/00
CPC分类号： G06F17/30247 , G06F19/00 , G06F19/321 , G06T7/0012 , G06T2207/30004 , G06T2207/30196 , G16H50/70
摘要： A system for computer aided detection and decision support includes an ontology of image representations for injecting meaning into and adding relationships among image contents, an image understanding and parsing module in communication with the ontology of image representations for extracting structures from an image including the image contents, and a reasoning engine based in communication with the ontology and the image understanding and parsing module for classifying the image contents, wherein the system receives the image and corresponding descriptive information.
摘要翻译： 一种用于计算机辅助检测和决策支持的系统包括用于将意图注入并添加图像内容之间的关系的图像表示本体，与图像表示本体通信的图像理解和解析模块，用于从包括图像内容的图像提取结构 以及与本体通信的推理引擎和用于对图像内容进行分类的图像理解和解析模块，其中系统接收图像和对应的描述信息。
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公开(公告)号：US08121360B2
公开(公告)日：2012-02-21
申请号：US11782694
申请日：2007-07-25
申请人： Xiang Zhou , Alok Gupta , Arun Krishnan , Jörg Freund , Dorin Comaniciu
发明人： Xiang Zhou , Alok Gupta , Arun Krishnan , Jörg Freund , Dorin Comaniciu
IPC分类号： G06K9/00
CPC分类号： G06F17/30247 , G06F19/00 , G06F19/321 , G06T7/0012 , G06T2207/30004 , G06T2207/30196 , G16H50/70
摘要： A system for computer aided detection and decision support includes an ontology of image representations for injecting meaning into and adding relationships among image contents, an image understanding and parsing module in communication with the ontology of image representations for extracting structures from an image including the image contents, and a reasoning engine based in communication with the ontology and the image understanding and parsing module for classifying the image contents, wherein the system receives the image and corresponding descriptive information.
摘要翻译： 一种用于计算机辅助检测和决策支持的系统包括用于将意图注入并添加图像内容之间的关系的图像表示本体，与图像表示本体通信的图像理解和解析模块，用于从包括图像内容的图像提取结构 以及与本体通信的推理引擎和用于对图像内容进行分类的图像理解和解析模块，其中系统接收图像和对应的描述信息。
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公开(公告)号：US07244230B2
公开(公告)日：2007-07-17
申请号：US10702721
申请日：2003-11-06
CPC分类号： A61B8/56 , A61B8/00 , A61B8/4427 , A61B8/485 , A61B8/565 , G06F19/00 , G06T7/0012 , G06T2207/30004 , G16H50/20 , Y02A90/22 , Y02A90/26 , Y10S128/925
摘要： Various attributes for medical CAD analysis used alone or in combination are disclosed, including: (1) using medical sensor data and context information associated with the configuration of the medical system to provide recommendations for further acts to be performed for more accurate or different diagnosis, (2) recommending further acts to be performed and providing an indication of the importance of the further act for further diagnosis, (3) distributing the computer-assisted diagnosis software and/or database over multiple systems, and (4) transmitting patient data to a remote system for CAD diagnosis and using the results of the CAD diagnosis at the remote facility.
摘要翻译： 公开了用于单独或组合使用的医疗CAD分析的各种属性，包括：（1）使用与医疗系统的配置相关联的医疗传感器数据和上下文信息来提供用于执行更准确或不同诊断的进一步行为的建议， （2）推荐进一步的行为，并提供进一步诊断的进一步行动的重要性的指示，（3）通过多个系统分发计算机辅助诊断软件和/或数据库，以及（4）将患者数据发送到 用于CAD诊断的远程系统，并在远程设施中使用CAD诊断的结果。
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公开(公告)号：US07792778B2
公开(公告)日：2010-09-07
申请号：US11782689
申请日：2007-07-25
申请人： Xiang Zhou , Alok Gupta , Arun Krishnan
发明人： Xiang Zhou , Alok Gupta , Arun Krishnan
CPC分类号： G06Q50/24 , G06F19/00 , G06F19/321 , G06Q50/22 , G16H50/20
摘要： A system for knowledge-based image computer aided detection includes a text interpretation system receiving an electronic patient record and outputting an assertion relevant for the electronic patient record, an annotation/detection system detects anatomical and functional structures in input images and interacts with the text interpretation system to receive the assertion and outputting annotated images based on the input images, and an imaging decision support system taking the annotated images and outputting classifications of annotated structures in the annotated images.
摘要翻译： 用于基于知识的图像计算机辅助检测的系统包括接收电子病人记录并输出与电子病人记录相关的断言的文本解释系统，注释/检测系统检测输入图像中的解剖学和功能结构并与文本解释相互作用 系统，用于基于输入图像接收断言并输出注释图像，以及成像决策支持系统，其采用注释图像并输出注释图像中注释结构的分类。
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5.发明授权Systems and methods for automatic change quantification for medical decision support 有权用于医疗决策支持的自动变更量化的系统和方法公开(公告)号：US07724930B2
公开(公告)日：2010-05-25
申请号：US11590451
申请日：2006-10-31
申请人： Xiang Zhou , Arun Krishnan , Alok Gupta , Vaclav Potesil
发明人： Xiang Zhou , Arun Krishnan , Alok Gupta , Vaclav Potesil
CPC分类号： G06T7/0012 , G06T7/38 , G06T2207/30004
摘要： A method of automatic change quantification for medical decision support includes: automatically detecting a structure in a set of medical images; characterizing the detected structure including modeling of deformation characteristics of the detected structure; matching images based on the characterization of the detected structure, wherein a size measure of the detected structure is constrained according to the deformation characteristics; and quantifying a change in the detected structure.
摘要翻译： 用于医疗决策支持的自动变化量化的方法包括：自动检测一组医学图像中的结构; 表征检测到的结构，包括检测结构的变形特性的建模; 基于检测结构的表征匹配图像，其中检测结构的尺寸测量根据变形特性被约束; 并量化检测结构的变化。
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公开(公告)号：US20080027889A1
公开(公告)日：2008-01-31
申请号：US11782689
申请日：2007-07-25
申请人： Xiang Zhou , Alok Gupta , Arun Krishnan
发明人： Xiang Zhou , Alok Gupta , Arun Krishnan
IPC分类号： G06N5/02
CPC分类号： G06Q50/24 , G06F19/00 , G06F19/321 , G06Q50/22 , G16H50/20
摘要： A system for knowledge-based image computer aided detection includes a text interpretation system receiving an electronic patient record and outputting an assertion relevant for the electronic patient record, an annotation/detection system detects anatomical and functional structures in input images and interacts with the text interpretation system to receive the assertion and outputting annotated images based on the input images, and an imaging decision support system taking the annotated images and outputting classifications of annotated structures in the annotated images.
摘要翻译： 用于基于知识的图像计算机辅助检测的系统包括接收电子病人记录并输出与电子病人记录相关的断言的文本解释系统，注释/检测系统检测输入图像中的解剖学和功能结构并与文本解释相互作用 系统，用于基于输入图像接收断言并输出注释图像;以及成像决策支持系统，其采用注释图像并输出注释图像中注释结构的分类。
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7.发明申请Systems and methods for automatic change quantification for medical decision support 有权用于医疗决策支持的自动变更量化的系统和方法公开(公告)号：US20070122018A1
公开(公告)日：2007-05-31
申请号：US11590451
申请日：2006-10-31
申请人： Xiang Zhou , Arun Krishnan , Alok Gupta , Vaclav Potesil
发明人： Xiang Zhou , Arun Krishnan , Alok Gupta , Vaclav Potesil
CPC分类号： G06T7/0012 , G06T7/38 , G06T2207/30004
摘要： A method of automatic change quantification for medical decision support includes: automatically detecting a structure in a set of medical images; characterizing the detected structure including modeling of deformation characteristics of the detected structure; matching images based on the characterization of the detected structure, wherein a size measure of the detected structure is constrained according to the deformation characteristics; and quantifying a change in the detected structure.
摘要翻译： 用于医疗决策支持的自动变化量化的方法包括：自动检测一组医学图像中的结构; 表征检测到的结构，包括检测结构的变形特性的建模; 基于检测结构的表征匹配图像，其中检测结构的尺寸测量根据变形特性被约束; 并量化检测结构的变化。
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8.发明申请Systems and methods for computer aided diagnosis and decision support in whole-body imaging 审中-公开全身成像计算机辅助诊断和决策支持的系统和方法公开(公告)号：US20070081706A1
公开(公告)日：2007-04-12
申请号：US11505081
申请日：2006-08-16
申请人： Xiang Zhou , Arun Krishnan , Alok Gupta
发明人： Xiang Zhou , Arun Krishnan , Alok Gupta
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06F19/321 , G06T7/41 , G06T2207/10081 , G06T2207/10104 , G06T2207/20101 , G06T2207/30004 , G16H50/20
摘要： A system for providing automatic diagnosis and decision support includes: a medical image database; generative learning and modeling modules that build distributional appearance models and spatial relational models of organs or structures using images from the medical image database; a statistical whole-body atlas that includes one or more distributional appearance models and spatial relational models of organs or structure, in one or more whole-body imaging modalities, built by the generative learning and modeling modules; and discriminative learning and modeling modules that build two-class or multi-class classifiers for performing at least one of organ, structure or disease detection or segmentation.
摘要翻译： 一种用于提供自动诊断和决策支持的系统包括：医学图像数据库; 生成学习和建模模块，使用医学图像数据库中的图像构建器官或结构的分布外观模型和空间关系模型; 统计全身图集，包括一个或多个分布式外观模型和器官或结构的空间关系模型，在一个或多个全身成像模式中，由生成学习和建模模块构建; 以及构建用于执行器官，结构或疾病检测或分割中的至少一种的两类或多类分类器的辨别性学习和建模模块。
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9.发明授权Scale selection for anisotropic scale-space: application to volumetric tumor characterization 有权各向异性尺度空间的尺度选择：应用于体积肿瘤表征公开(公告)号：US07616792B2
公开(公告)日：2009-11-10
申请号：US10990888
申请日：2004-11-17
申请人： Kazunori Okada , Dorin Comaniciu , Arun Krishnan
发明人： Kazunori Okada , Dorin Comaniciu , Arun Krishnan
CPC分类号： G06K9/527 , G06T7/0012 , G06T7/11 , G06T2207/10081 , G06T2207/30064
摘要： A method for determining a structure in volumetric data includes determining an anisotropic scale-space for a local region around a given spatial local maximum, determining L-normalized scale-space derivatives in the anisotropic scale-space, and determining the presence of noise in the volumetric data and upon determining noise in the volumetric data, determining the structure by a most-stable-over-scales determination, and upon determining noise below a desirable level, determining the structure by one of the most-stable-over-scales determination and a maximum-over-scales determination.
摘要翻译： 一种用于确定体积数据中的结构的方法包括确定围绕给定空间局部最大值的局部区域的各向异性尺度空间，确定各向异性尺度空间中的L归一化尺度空间导数，以及确定在 体积数据和确定体积数据中的噪声，通过最稳定的超标度确定来确定结构，并且在将噪声确定在理想水平之下时，通过最稳定的超尺度确定之一来确定结构;以及 最大超尺度测定。
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10.发明授权Volumetric characterization using covariance estimation from scale-space hessian matrices 有权使用尺度空间非线性矩阵的协方差估计的体积特征公开(公告)号：US07720269B2
公开(公告)日：2010-05-18
申请号：US10954741
申请日：2004-09-30
申请人： Kazunori Okada , Dorin Comaniciu , Arun Krishnan
发明人： Kazunori Okada , Dorin Comaniciu , Arun Krishnan
IPC分类号： G06K9/00
CPC分类号： G06T7/11 , G06T2207/10081 , G06T2207/30064
摘要： A method for determining a volume of interest in data includes determining fixed-bandwidth estimations of a plurality of analysis bandwidths, wherein the estimation of the fixed-bandwidth comprises, providing an estimate of a mode location of the volume of interest in the data, and determining a covariance of the volume of interest using a local Hessian matrix. The method further includes determining the volume of interest as a most stable fixed-bandwidth estimation across each of the plurality of analysis bandwidths.
摘要翻译： 一种用于确定数据中的感兴趣体积的方法包括：确定多个分析带宽的固定带宽估计，其中固定带宽的估计包括：提供数据中感兴趣体积的模式位置的估计，以及 使用局部Hessian矩阵确定感兴趣体积的协方差。 该方法还包括将感兴趣的体积确定为跨越多个分析带宽中的每一个的最稳定的固定带宽估计。
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