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1.发明申请公开(公告)号：US20120051609A1
公开(公告)日：2012-03-01
申请号：US12870331
申请日：2010-08-27
IPC分类号： G06K9/00
CPC分类号： G06T7/0014 , G06T11/206 , G06T2200/24 , G06T2207/20104 , G06T2207/30016 , G06T2207/30061
摘要： A system and method for analyzing and visualizing local clinical features includes access of a medical image dataset comprising image data acquired from a patient and identification of a region of interest (ROI) dataset corresponding to an ROI from the medical image dataset. The system also includes application of an automated algorithm to the ROI dataset, identification of an intermediate result used by the automated algorithm to analyze the ROI, and access of reference data corresponding to the intermediate result, the reference data derived from a reference dataset and representing an expected behavior of the intermediate result. Further, the system includes comparison of the intermediate result to the reference data, generation of a deviation metric based on the comparison, the deviation metric representing a deviation of the intermediate result, and creation of a visual representation of the deviation metric.
摘要翻译： 用于分析和可视化本地临床特征的系统和方法包括访问包括从患者获取的图像数据的医学图像数据集和来自医学图像数据集的对应于ROI的感兴趣区域（ROI）数据集的识别。 该系统还包括将自动化算法应用于ROI数据集，识别由自动算法分析ROI的中间结果，以及访问对应于中间结果的参考数据，从参考数据集导出的参考数据和表示 中间结果的预期行为。 此外，系统包括中间结果与参考数据的比较，基于比较的偏差度量的生成，表示中间结果的偏差的偏差度量以及偏差度量的视觉表示的创建。
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公开(公告)号：US08761479B2
公开(公告)日：2014-06-24
申请号：US12941162
申请日：2010-11-08
IPC分类号： G06K9/00
CPC分类号： A61B6/482 , A61B6/032 , A61B6/463 , A61B6/465 , G06F19/00 , G06F19/321 , G06T7/0012 , G06T11/001 , G06T2207/10081 , G06T2207/20104
摘要： A system and method for analyzing and visualizing spectral CT data includes access of a set of image data acquired from a patient comprising spectral CT data, identification of a plurality of target regions of interest (TROIs) and a reference region of interest (RROI) from the set of image data, extraction of a plurality of target spectral Hounsfield unit (HU) curves from image data representing the plurality of TROIs, extraction of a reference spectral HU curve from image data representing the RROI, normalization of the plurality of target spectral HU curves with respect to the reference spectral HU curve, and display of the plurality of normalized target spectral HU curves.
摘要翻译： 用于分析和可视化频谱CT数据的系统和方法包括从患者获取的一组图像数据的访问，包括频谱CT数据，多个目标感兴趣区域（TROI）和感兴趣的参考区域（RROI）的识别从 图像数据集合，从表示多个TROI的图像数据中提取多个目标光谱Hounsfield单位（HU）曲线，从表示RROI的图像数据中提取参考光谱HU曲线，多个目标光谱HU的归一化 相对于参考光谱HU曲线的曲线，以及多个归一化的目标光谱HU曲线的显示。
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公开(公告)号：US20120114206A1
公开(公告)日：2012-05-10
申请号：US12941162
申请日：2010-11-08
IPC分类号： G06K9/00
CPC分类号： A61B6/482 , A61B6/032 , A61B6/463 , A61B6/465 , G06F19/00 , G06F19/321 , G06T7/0012 , G06T11/001 , G06T2207/10081 , G06T2207/20104
摘要： A system and method for analyzing and visualizing spectral CT data includes access of a set of image data acquired from a patient comprising spectral CT data, identification of a plurality of target regions of interest (TROIs) and a reference region of interest (RROI) from the set of image data, extraction of a plurality of target spectral Hounsfield unit (HU) curves from image data representing the plurality of TROIs, extraction of a reference spectral HU curve from image data representing the RROI, normalization of the plurality of target spectral HU curves with respect to the reference spectral HU curve, and display of the plurality of normalized target spectral HU curves.
摘要翻译： 用于分析和可视化频谱CT数据的系统和方法包括从患者获取的一组图像数据的访问，包括频谱CT数据，多个目标感兴趣区域（TROI）和感兴趣的参考区域（RROI）的识别从 图像数据集合，从表示多个TROI的图像数据中提取多个目标光谱Hounsfield单位（HU）曲线，从表示RROI的图像数据中提取参考光谱HU曲线，多个目标光谱HU的归一化 相对于参考光谱HU曲线的曲线，以及多个归一化的目标光谱HU曲线的显示。
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4.发明申请公开(公告)号：US20120051610A1
公开(公告)日：2012-03-01
申请号：US12870358
申请日：2010-08-27
IPC分类号： G06K9/00
CPC分类号： G06T7/0014 , G06T11/206 , G06T2200/24 , G06T2207/20104 , G06T2207/30016 , G06T2207/30061
摘要： A system and method for analyzing and visualizing local clinical features includes the access of a set of clinical data acquired from a patient, the set of clinical data comprising image data and clinical test result data. The system also includes identification of a region of interest (ROI) from the image data, identification of a clinical test dataset from the clinical test result data, the clinical test dataset comprising data from clinical tests associated with the ROI. Further the system includes the access of a deviation map representing a deviation between the clinical test dataset and a reference dataset, and the output of a visualization of the deviation map.
摘要翻译： 用于分析和可视化本地临床特征的系统和方法包括访问从患者获得的一组临床数据，该组临床数据包括图像数据和临床测试结果数据。 该系统还包括从图像数据中识别感兴趣区域（ROI），从临床测试结果数据识别临床测试数据集，临床测试数据集包括与ROI相关联的临床测试的数据。 此外，该系统包括访问表示临床测试数据集和参考数据集之间的偏差的偏差映射以及偏差映射的可视化的输出。
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5.发明申请公开(公告)号：US20120051608A1
公开(公告)日：2012-03-01
申请号：US12870314
申请日：2010-08-27
IPC分类号： G06K9/00
CPC分类号： G06T7/0014 , G01R33/5608 , G06K2209/05 , G06T7/11 , G06T2207/10072 , G06T2207/30016
摘要： A system and method for analyzing and visualizing local clinical features includes identification of a first region of interest (ROI) from a medical image dataset acquired from a patient and extraction of a feature dataset representing a feature of interest specific to the ROI. The system also includes identification of a second ROI from the medical image dataset, extraction of a reference dataset comprising reference data representing an expected behavior of the feature of interest, comparison of the feature dataset to the reference dataset, generation of a deviation metric representing a deviation of the feature of interest based on the comparison, and creation of a visual representation of the deviation metric.
摘要翻译： 用于分析和可视化本地临床特征的系统和方法包括从从患者获取的医学图像数据集中识别第一感兴趣区域（ROI），以及提取表示ROI特有的感兴趣特征的特征数据集。 该系统还包括从医学图像数据集识别第二ROI，提取参考数据集，其包括表示感兴趣特征的期望行为的参考数据，特征数据集与参考数据集的比较，生成表示 基于比较的感兴趣特征的偏差，以及偏差度量的视觉表示的创建。
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公开(公告)号：US20120030217A1
公开(公告)日：2012-02-02
申请号：US12845853
申请日：2010-07-29
CPC分类号： G06F17/30994 , G06F17/30985 , G06F19/00 , G06F19/324 , G16H10/60
摘要： A system and method for analyzing clinical data includes a reference database comprising a stored set of reference data comprising enumerated results of a reference population for a clinical test. The system also includes a patient database comprising a stored set of clinical data corresponding to a patient result for the clinical test that is selected from the enumerated results. A processor is included in the system and is programmed to access the patient and reference databases, identify a distribution of reference data over the enumerated test results, and calculate a relevance index based on the distribution of reference data. The processor is further programmed to compare the patient result to the distribution of reference data, calculate a disagreement index based on the comparison, and calculate a deviation index from the relevance and disagreement indices. A graphical user interface is also included to output a visualization of the deviation index.
摘要翻译： 用于分析临床数据的系统和方法包括参考数据库，其包括存储的一组参考数据，其包括用于临床测试的参考群的列举结果。 该系统还包括患者数据库，其包括对应于从列举的结果中选择的用于临床测试的患者结果的存储的一组临床数据。 处理器被包括在系统中，并被编程以访问患者和参考数据库，通过枚举的测试结果识别参考数据的分布，并且基于参考数据的分布来计算相关性指数。 处理器进一步编程为将患者结果与参考数据的分布进行比较，根据比较计算分歧指数，并计算相关性和不一致指数的偏差指数。 还包括图形用户界面以输出偏差指数的可视化。
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7.发明授权公开(公告)号：US09514250B2
公开(公告)日：2016-12-06
申请号：US12845853
申请日：2010-07-29
CPC分类号： G06F17/30994 , G06F17/30985 , G06F19/00 , G06F19/324 , G16H10/60
摘要： A system and method for analyzing clinical data includes a reference database comprising a stored set of reference data comprising enumerated results of a reference population for a clinical test. The system also includes a patient database comprising a stored set of clinical data corresponding to a patient result for the clinical test that is selected from the enumerated results. A processor is included in the system and is programmed to access the patient and reference databases, identify a distribution of reference data over the enumerated test results, and calculate a relevance index based on the distribution of reference data. The processor is further programmed to compare the patient result to the distribution of reference data, calculate a disagreement index based on the comparison, and calculate a deviation index from the relevance and disagreement indices. A graphical user interface is also included to output a visualization of the deviation index.
摘要翻译： 用于分析临床数据的系统和方法包括参考数据库，其包括存储的一组参考数据，其包括用于临床测试的参考群的列举结果。 该系统还包括患者数据库，其包括对应于从列举的结果中选择的用于临床测试的患者结果的存储的一组临床数据。 处理器被包括在系统中，并被编程以访问患者和参考数据库，通过枚举的测试结果识别参考数据的分布，并且基于参考数据的分布来计算相关性指数。 处理器进一步编程为将患者结果与参考数据的分布进行比较，根据比较计算分歧指数，并计算相关性和不一致指数的偏差指数。 还包括图形用户界面以输出偏差指数的可视化。
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8.发明授权公开(公告)号：US08934685B2
公开(公告)日：2015-01-13
申请号：US12886932
申请日：2010-09-21
CPC分类号： G06T7/0014 , G06K9/3233 , G06T2200/24 , G06T2207/20104 , G06T2207/30016
摘要： A system and method for analyzing and visualizing a local feature of interest includes access of a clinical image dataset comprising clinical image data acquired from a patient, identification of a region of interest (ROI) from the clinical image dataset, and extraction of at least one local feature corresponding to the ROI. The system and method also include definition of a local feature dataset comprising data representing at least one local feature, access of a pre-computed reference dataset comprising image data representing an expected value of the at least one identified derived characteristic of interest, and comparison of the characteristic dataset to the pre-computed reference dataset. Further, the system and method include calculation of at least one deviation metric from the comparison and output of a visualization of the at least one deviation metric.
摘要翻译： 用于分析和可视化感兴趣的局部特征的系统和方法包括访问包括从患者获取的临床图像数据的临床图像数据集，从临床图像数据集识别感兴趣区域（ROI），以及提取至少一个 局部特征对应于ROI。 该系统和方法还包括定义包括代表至少一个局部特征的数据的局部特征数据集，预先计算的参考数据集的访问包括表示所述至少一个识别的感兴趣的导出特征的期望值的图像数据，以及 特征数据集到预先计算的参考数据集。 此外，该系统和方法包括计算与至少一个偏差度量的可视化的比较和输出中的至少一个偏差度量。
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9.发明申请公开(公告)号：US20120070044A1
公开(公告)日：2012-03-22
申请号：US12886932
申请日：2010-09-21
IPC分类号： G06K9/62
CPC分类号： G06T7/0014 , G06K9/3233 , G06T2200/24 , G06T2207/20104 , G06T2207/30016
摘要： A system and method for analyzing and visualizing a local feature of interest includes access of a clinical image dataset comprising clinical image data acquired from a patient, identification of a region of interest (ROI) from the clinical image dataset, and extraction of at least one local feature corresponding to the ROI. The system and method also include definition of a local feature dataset comprising data representing at least one local feature, access of a pre-computed reference dataset comprising image data representing an expected value of the at least one identified derived characteristic of interest, and comparison of the characteristic dataset to the pre-computed reference dataset. Further, the system and method include calculation of at least one deviation metric from the comparison and output of a visualization of the at least one deviation metric.
摘要翻译： 用于分析和可视化感兴趣的局部特征的系统和方法包括访问包括从患者获取的临床图像数据的临床图像数据集，从临床图像数据集识别感兴趣区域（ROI），以及提取至少一个 局部特征对应于ROI。 该系统和方法还包括定义包括代表至少一个局部特征的数据的局部特征数据集，预先计算的参考数据集的访问包括表示所述至少一个识别的感兴趣的导出特征的期望值的图像数据，以及 特征数据集到预先计算的参考数据集。 此外，该系统和方法包括计算与至少一个偏差度量的可视化的比较和输出中的至少一个偏差度量。
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10.发明申请SYSTEMS AND METHODS FOR HOLISTIC ANALYSIS AND VISUALIZATION OF PHARMACOLOGICAL DATA 审中-公开用于血液分析和药物数据可视化的系统和方法公开(公告)号：US20120078522A1
公开(公告)日：2012-03-29
申请号：US13102880
申请日：2011-05-06
申请人： Gopal Avinash , Zhongmin Lin , Ananth P. Mohan , Ricky R. Wascher
发明人： Gopal Avinash , Zhongmin Lin , Ananth P. Mohan , Ricky R. Wascher
IPC分类号： G06F19/00
CPC分类号： G16H50/70
摘要： Certain examples provide systems and methods for holistic viewing to provide comparative analysis and decision support in a drug development process. An example method includes accessing data related to drug development; pre-processing the data to prepare the data for measurement and analysis; and analyzing the data based on at least one of a plurality of different metrics. Each metric corresponds to a quantified variation between a first data set of results corresponding to a category in the drug development process. The first data set of results is provided for comparison with a second data set of results corresponding to at least one other category in the drug development process. At least some of the plurality of metrics are aggregated to generate a visual representation representing an integrated comparative visualization for the identified category.
摘要翻译： 某些例子提供了整体观察的系统和方法，以在药物开发过程中提供比较分析和决策支持。 一个示例性方法包括访问与药物开发有关的数据; 预处理数据以准备数据进行测量和分析; 以及基于多个不同度量中的至少一个来分析数据。 每个度量对应于与药物开发过程中的类别相对应的结果的第一数据集合之间的量化变化。 提供结果的第一数据集用于与在药物开发过程中与至少一个其他类别对应的结果的第二数据集进行比较。 多个度量中的至少一些被聚合以产生表示用于所识别的类别的综合比较可视化的视觉表示。
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