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1. 发明授权

US08934685B2 System and method for analyzing and visualizing local clinical features 有权
标题翻译：用于分析和可视化局部临床特征的系统和方法
公开(公告)号：US08934685B2
公开(公告)日：2015-01-13
申请号：US12886932
申请日：2010-09-21
申请人： Gopal Biligeri Avinash , Ananth P. Mohan , Saad Ahmed Sirohey , Zhongmin Steve Lin
发明人： Gopal Biligeri Avinash , Ananth P. Mohan , Saad Ahmed Sirohey , Zhongmin Steve Lin
IPC分类号： G06K9/00 , G06T7/00 , G06K9/32
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。

2. 发明申请

US20120070044A1 SYSTEM AND METHOD FOR ANALYZING AND VISUALIZING LOCAL CLINICAL FEATURES 有权
标题翻译：用于分析和可视化局部临床特征的系统和方法
公开(公告)号：US20120070044A1
公开(公告)日：2012-03-22
申请号：US12886932
申请日：2010-09-21
申请人： Gopal Biligeri Avinash , Ananth P. Mohan , Saad Ahmed Sirohey , Zhongmin Steve Lin
发明人： Gopal Biligeri Avinash , Ananth P. Mohan , Saad Ahmed Sirohey , Zhongmin Steve Lin
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。

3. 发明申请

US20110129129A1 SYSTEM AND METHOD FOR INTEGRATED QUANTIFIABLE DETECTION, DIAGNOSIS AND MONITORING OF DISEASE USING POPULATION RELATED DATA FOR DETERMINING A DISEASE SIGNATURE 审中-公开
标题翻译：用于统一定量检测的系统和方法，使用人口相关数据进行疾病诊断和监测以确定疾病标志
公开(公告)号：US20110129129A1
公开(公告)日：2011-06-02
申请号：US12627154
申请日：2009-11-30
申请人： Gopal Biligeri Avinash , Saad Ahmed Sirohey , Zhongmin Steve Lin , Ananth Mohan
发明人： Gopal Biligeri Avinash , Saad Ahmed Sirohey , Zhongmin Steve Lin , Ananth Mohan
IPC分类号： G06K9/00
CPC分类号： A61B5/04 , A61B5/055 , A61B5/4076 , A61B6/032 , A61B6/037 , A61B6/501 , A61B6/5217 , A61B6/5247 , G06F19/321 , G16H15/00
摘要： A system and method for detecting, diagnosing, and monitoring a disease and determining a disease signature including accessing patient deviation scores indicative of differences between patient data and reference data representative of a population segment, the patient deviation scores derived from longitudinal patient data such that the patient deviation scores include a plurality of sets of patient deviation scores, each set indicative of differences between patient data collected at a respective point in time and the reference data. The system and method also includes identifying a trend in the patient deviation scores for at least one clinical parameter, generating a report including a visual indication of the trend, and outputting the report. The report includes one or more views including Z, T, D, DT, and D feedback on T views, using image and non-image data.
摘要翻译：一种用于检测，诊断和监测疾病并确定疾病特征的系统和方法，包括访问指示患者数据和代表群体区段的参考数据之间的差异的患者偏差分数，从纵向患者数据导出的患者偏差得分，使得患者偏差得分包括多组患者偏差得分，每组设置指示在各个时间点收集的患者数据与参考数据之间的差异。该系统和方法还包括识别针对至少一个临床参数的患者偏差得分中的趋势，生成包括趋势的视觉指示的报告，以及输出报告。该报告包括一个或多个视图，包括使用图像和非图像数据的T视图的Z，T，D，DT和D反馈。

4. 发明授权

US09271651B2 System and method for integrated quantifiable detection, diagnosis and monitoring of disease using patient related time trend data 有权
标题翻译：使用患者相关时间趋势数据综合定量检测，诊断和监测疾病的系统和方法
公开(公告)号：US09271651B2
公开(公告)日：2016-03-01
申请号：US12627149
申请日：2009-11-30
申请人： Gopal Biligeri Avinash , Saad Ahmed Sirohey , Zhongmin Steve Lin , Ananth Mohan
发明人： Gopal Biligeri Avinash , Saad Ahmed Sirohey , Zhongmin Steve Lin , Ananth Mohan
IPC分类号： A61B5/00
CPC分类号： G06F19/324 , A61B5/00 , G06F19/00 , G06F19/321
摘要： A system comprising a memory device having a plurality of routines stored therein, a processor configured to execute the plurality of routines stored in the memory device, the plurality of routines comprising: a routine configured to effect, when executed, accessing of patient deviation scores indicative of differences between patient data and reference data representative of a population segment, wherein the patient deviation scores are derived from longitudinal data of the patient data such that the patient deviation scores include a plurality of sets of patient deviation scores, each set indicative of differences between patient data collected at a respective point in time and the reference data; a routine configured to effect, when executed, identifying a trend in the patient deviation scores for at least one clinical parameter; a routine configured to effect, when executed, generating of a report including a visual indication of the trend; and a routine configured to effect, when executed, outputting of the report. The report includes one or more views including Z, T, D, DT, and D feedback on T views, using image and non-image data.
摘要翻译：一种系统，包括具有存储在其中的多个例程的存储器设备，被配置为执行存储在存储器设备中的多个例程的处理器，所述多个例程包括：被配置为在被执行时实现患者偏差得分指示患者数据和代表群体区段的参考数据之间的差异，其中患者偏差得分来自患者数据的纵向数据，使得患者偏差得分包括多组患者偏差得分，每组设置指示在各个时间点收集的患者数据和参考数据; 配置为在执行时实现至少一个临床参数的患者偏差得分中的趋势的实例; 配置为在执行时产生包括趋势的视觉指示的报告的例程; 以及被配置为在执行时实现所述报告的输出的例程。该报告包括一个或多个视图，包括使用图像和非图像数据的T视图的Z，T，D，DT和D反馈。

5. 发明申请

US20110129131A1 SYSTEM AND METHOD FOR INTEGRATED QUANTIFIABLE DETECTION, DIAGNOSIS AND MONITORING OF DISEASE USING POPULATION RELATED TIME TREND DATA AND DISEASE PROFILES 审中-公开
标题翻译：使用人口相关时间趋势数据和疾病概况综合量化检测，诊断和疾病监测的系统和方法
公开(公告)号：US20110129131A1
公开(公告)日：2011-06-02
申请号：US12627160
申请日：2009-11-30
申请人： Gopal Biligeri Avinash , Saad Ahmed Sirohey , Zhongmin Steve Lin , Ananth Mohan
发明人： Gopal Biligeri Avinash , Saad Ahmed Sirohey , Zhongmin Steve Lin , Ananth Mohan
IPC分类号： G06K9/00 , G06F15/18 , G06N5/02
CPC分类号： G16H50/20 , G06F19/321 , G16H15/00 , G16H50/70
摘要： A system and method for detecting, diagnosing, and monitoring a disease and determining a disease signature including accessing patient deviation scores indicative of differences between patient data and reference data representative of a population segment, the patient deviation scores derived from longitudinal patient data such that the patient deviation scores include a plurality of sets of patient deviation scores, each set indicative of differences between patient data collected at a respective point in time and the reference data. The system and method also includes identifying a trend in the patient deviation scores for at least one clinical parameter, generating a report including a visual indication of the trend, and outputting the report. The report includes one or more views including Z, T, D, DT, and D feedback on T views, using image and non-image data.
摘要翻译：一种用于检测，诊断和监测疾病并确定疾病特征的系统和方法，包括访问指示患者数据和代表群体区段的参考数据之间的差异的患者偏差分数，从纵向患者数据导出的患者偏差得分，使得患者偏差得分包括多组患者偏差得分，每组设置指示在各个时间点收集的患者数据与参考数据之间的差异。该系统和方法还包括识别针对至少一个临床参数的患者偏差得分中的趋势，生成包括趋势的视觉指示的报告，以及输出报告。该报告包括一个或多个视图，包括使用图像和非图像数据的T视图的Z，T，D，DT和D反馈。

6. 发明授权

US08761479B2 System and method for analyzing and visualizing spectral CT data 有权
标题翻译：用于分析和可视化光谱CT数据的系统和方法
公开(公告)号：US08761479B2
公开(公告)日：2014-06-24
申请号：US12941162
申请日：2010-11-08
申请人： Gopal Biligeri Avinash , Sandeep Dutta , Saad Ahmed Sirohey , Ananth P. Mohan
发明人： Gopal Biligeri Avinash , Sandeep Dutta , Saad Ahmed Sirohey , Ananth P. Mohan
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。

7. 发明申请

US20120114206A1 SYSTEM AND METHOD FOR ANALYZING AND VISUALIZING SPECTRAL CT DATA 有权
标题翻译：用于分析和可视化光谱数据的系统和方法
公开(公告)号：US20120114206A1
公开(公告)日：2012-05-10
申请号：US12941162
申请日：2010-11-08
申请人： Gopal Biligeri Avinash , Sandeep Dutta , Saad Ahmed Sirohey , Ananth P. Mohan
发明人： Gopal Biligeri Avinash , Sandeep Dutta , Saad Ahmed Sirohey , Ananth P. Mohan
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。

8. 发明申请

US20110218405A1 SYSTEM AND METHOD FOR INTEGRATED QUANTIFIABLE DETECTION, DIAGNOSIS AND MONITORING OF DISEASE USING PATIENT RELATED TIME TREND DATA 有权
标题翻译：用于综合量化检测，病人诊断和监测病人相关时间趋势数据的系统和方法
公开(公告)号：US20110218405A1
公开(公告)日：2011-09-08
申请号：US12627149
申请日：2009-11-30
申请人： Gopal Biligeri Avinash , Saad Ahmed Sirohey , Zhongmin Steve Lin , Ananth Mohan
发明人： Gopal Biligeri Avinash , Saad Ahmed Sirohey , Zhongmin Steve Lin , Ananth Mohan
IPC分类号： A61B5/00
CPC分类号： G06F19/324 , A61B5/00 , G06F19/00 , G06F19/321
摘要： A system comprising a memory device having a plurality of routines stored therein, a processor configured to execute the plurality of routines stored in the memory device, the plurality of routines comprising: a routine configured to effect, when executed, accessing of patient deviation scores indicative of differences between patient data and reference data representative of a population segment, wherein the patient deviation scores are derived from longitudinal data of the patient data such that the patient deviation scores include a plurality of sets of patient deviation scores, each set indicative of differences between patient data collected at a respective point in time and the reference data; a routine configured to effect, when executed, identifying a trend in the patient deviation scores for at least one clinical parameter; a routine configured to effect, when executed, generating of a report including a visual indication of the trend; and a routine configured to effect, when executed, outputting of the report. The report includes one or more views including Z, T, D, DT, and D feedback on T views, using image and non-image data.
摘要翻译：一种系统，包括具有存储在其中的多个例程的存储器设备，被配置为执行存储在存储器设备中的多个例程的处理器，所述多个例程包括：被配置为在被执行时实现患者偏差得分指示患者数据和代表群体区段的参考数据之间的差异，其中患者偏差得分来自患者数据的纵向数据，使得患者偏差得分包括多组患者偏差得分，每组设置指示在各个时间点收集的患者数据和参考数据; 被配置为在执行时实现至少一个临床参数的患者偏差得分中的趋势; 配置为在执行时产生包括趋势的视觉指示的报告的例程; 以及被配置为在执行时实现所述报告的输出的例程。该报告包括一个或多个视图，包括使用图像和非图像数据的T视图的Z，T，D，DT和D反馈。

9. 发明申请

US20110129130A1 SYSTEM AND METHOD FOR INTEGRATED QUANTIFIABLE DETECTION, DIAGNOSIS AND MONITORING OF DISEASE USING POPULATION RELATED TIME TREND DATA 审中-公开
标题翻译：综合量化检测的系统和方法，使用人口相关时间趋势数据的疾病的诊断和监测
公开(公告)号：US20110129130A1
公开(公告)日：2011-06-02
申请号：US12627156
申请日：2009-11-30
申请人： Gopal Biligeri Avinash , Saad Ahmed Sirohey , Zhongmin Steve Lin , Ananth Mohan
发明人： Gopal Biligeri Avinash , Saad Ahmed Sirohey , Zhongmin Steve Lin , Ananth Mohan
IPC分类号： G06K9/00 , G06N5/02
CPC分类号： G16H50/70 , G06F19/321 , G16H15/00 , G16H50/20
摘要： A system and method for detecting, diagnosing, and monitoring a disease and determining a disease signature including accessing patient deviation scores indicative of differences between patient data and reference data representative of a population segment, the patient deviation scores derived from longitudinal patient data such that the patient deviation scores include a plurality of sets of patient deviation scores, each set indicative of differences between patient data collected at a respective point in time and the reference data. The system and method also includes identifying a trend in the patient deviation scores for at least one clinical parameter, generating a report including a visual indication of the trend, and outputting the report. The report includes one or more views including Z, T, D, DT, and D feedback on T views, using image and non-image data.
摘要翻译：一种用于检测，诊断和监测疾病并确定疾病特征的系统和方法，包括访问指示患者数据和代表群体区段的参考数据之间的差异的患者偏差分数，从纵向患者数据导出的患者偏差得分，使得患者偏差得分包括多组患者偏差得分，每组设置指示在各个时间点收集的患者数据与参考数据之间的差异。该系统和方法还包括识别针对至少一个临床参数的患者偏差得分中的趋势，生成包括趋势的视觉指示的报告，以及输出报告。该报告包括一个或多个视图，包括使用图像和非图像数据的T视图的Z，T，D，DT和D反馈。

10. 发明授权

US07970203B2 Purpose-driven data representation and usage for medical images 有权
标题翻译：用途驱动的医学图像数据表示和用途
公开(公告)号：US07970203B2
公开(公告)日：2011-06-28
申请号：US11725244
申请日：2007-03-19
申请人： Gopal Biligeri Avinash , Saad Ahmed Sirohey
发明人： Gopal Biligeri Avinash , Saad Ahmed Sirohey
IPC分类号： G06K9/00 , G06K9/34 , G06K9/40
CPC分类号： A61B6/032 , A61B6/507 , A61B6/548 , A61B6/563 , G06F19/00 , H04N19/132 , H04N19/152 , H04N19/184 , H04N19/60
摘要： A technique for selecting portions of a multi-resolution medical image data set to be stored and the portions of the multi-resolution medical image data set to be discarded in order to reduce the overall amount of image data that is stored for each image data set. The selection is based on the clinical purpose for obtaining the medical image data. The clinical purpose for obtaining the medical image is used to define regions of interest in the medical image. At each resolution level of the multi-resolution medical image data set, the regions of interest are stored at the full resolution, while the remaining portions of the medical image are stored at a lesser resolution. A three-dimensional bit mask of the regions of interest is produced from a segmentation of the regions of interest. The segmentation list and the multi-resolution medical image data set are decomposed into multiple resolution levels. Each resolution level has a low frequency component and several high frequency components. The low frequency portions at each resolution level may be stored in their entirety. The segmentation list is used to select the regions in the high frequency portions of the multi-resolution image data that correspond to the regions of interest and those regions that do not. The regions in the high frequency portions of the multi-resolution image data that correspond to the region of interest are stored. Those regions in the high frequency portions of the multi-resolution image data that do not correspond to a region of interest are discarded.
摘要翻译：一种用于选择要存储的多分辨率医学图像数据集的部分和要被丢弃的多分辨率医学图像数据集的部分的技术，以便减少针对每个图像数据集存储的图像数据的总量。该选择基于用于获得医学图像数据的临床目的。用于获得医学图像的临床目的用于定义医学图像中的感兴趣区域。在多分辨率医学图像数据集的每个分辨率级别，感兴趣区域以全分辨率存储，而医学图像的其余部分以较低分辨率存储。感兴趣区域的三维位掩码由感兴趣区域的分割产生。分割列表和多分辨率医学图像数据集被分解成多个分辨率级别。每个分辨率级别具有低频分量和几个高频分量。每个分辨率级别的低频部分可以全部存储。分割列表用于选择对应于感兴趣区域的那些多分辨率图像数据的高频部分中的区域，以及那些不具有区域的区域。存储与感兴趣区域对应的多分辨率图像数据的高频部分中的区域。多分辨率图像数据的高频部分中不对应于感兴趣区域的区域被丢弃。

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