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公开(公告)号：US20090290772A1
公开(公告)日：2009-11-26
申请号：US12123911
申请日：2008-05-20
IPC分类号： G06K9/00
CPC分类号： G06T7/0014 , G06F19/00 , G06F19/324 , G06Q50/24 , G06T2207/10072 , G06T2207/30016 , G16H15/00
摘要： A data processing technique is provided. In one embodiment, a computer-implemented method includes accessing patient image and non-image deviation scores derived through respective comparisons of patient image and non-image data to standardized image and non-image data. The method may also include processing the image and non-image deviation scores to generate a visual output indicative of differences between the patient image and non-image data, and the standardized image and non-image data, respectively. Further, the method may include displaying the visual output. Additional methods, systems, and manufactures are also disclosed.
摘要翻译： 提供了一种数据处理技术。 在一个实施例中，计算机实现的方法包括通过对患者图像和非图像数据的各自比较导出的患者图像和非图像偏差得分进行标准化图像和非图像数据。 该方法还可以包括处理图像和非图像偏差得分以分别产生指示患者图像和非图像数据之间的差异的视觉输出，以及标准化图像和非图像数据。 此外，该方法可以包括显示视觉输出。 还公开了附加的方法，系统和制造。
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2.发明申请System and Method for Disease Diagnosis from Patient Structural Deviation Data 有权患者结构偏差数据的疾病诊断系统与方法公开(公告)号：US20090292557A1
公开(公告)日：2009-11-26
申请号：US12123947
申请日：2008-05-20
申请人： Saad Ahmed Sirohey , Gopal B. Avinash , Fausto J. Espinal , Zhongmin Lin , Ananth Mohan , Tamanna Bembenek
发明人： Saad Ahmed Sirohey , Gopal B. Avinash , Fausto J. Espinal , Zhongmin Lin , Ananth Mohan , Tamanna Bembenek
摘要： A data processing technique is provided. In one embodiment, a computer-implemented method includes accessing patient deviation data of a structural difference between a patient anatomical feature and a standardized anatomical feature. The method may also include comparing the patient deviation data to reference deviation data sets representative of multiple disease types. Each reference deviation data set may be representative of an expected deviation from the standardized anatomical feature for a particular disease type. The method may further include automatically identifying one or more potential patient disease types based at least in part on the comparison. Additional methods, systems, and manufactures are also disclosed.
摘要翻译： 提供了一种数据处理技术。 在一个实施例中，计算机实现的方法包括访问患者解剖特征与标准化解剖特征之间的结构差异的患者偏差数据。 该方法还可以包括将患者偏差数据与代表多种疾病类型的参考偏差数据集进行比较。 每个参考偏差数据集可以代表对于特定疾病类型的与标准化解剖特征的期望偏差。 该方法还可以包括至少部分地基于比较来自动识别一个或多个潜在的患者疾病类型。 还公开了附加的方法，系统和制造。
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3.发明授权System and method for mapping structural and functional deviations in an anatomical region 有权用于在解剖学区域映射结构和功能偏差的系统和方法公开(公告)号：US08099299B2
公开(公告)日：2012-01-17
申请号：US12123824
申请日：2008-05-20
CPC分类号： G06Q50/22 , G06F19/00 , G06F19/321 , G06Q10/10 , G06T7/0012 , G06T2207/10072 , G06T2207/20221 , G06T2207/30016 , G16H50/20
摘要： A data processing technique is provided. In one embodiment, a computer-implemented method includes accessing individual patient deviation maps indicative of a structural difference and a functional difference, respectively, of at least one anatomical region of a patient with respect to standardized reference image data. The method may also include generating a composite patient deviation map indicative of both the structural difference and the functional difference based on at least the individual patient deviation maps, and outputting the composite patient deviation map. Additional methods, systems, and manufactures are also disclosed.
摘要翻译： 提供了一种数据处理技术。 在一个实施例中，计算机实现的方法包括分别指示相对于标准化参考图像数据的患者的至少一个解剖区域的结构差异和功能差异的各个患者偏差映射。 该方法还可以包括基于至少各个患者偏差图来生成指示结构差异和功能差异的复合患者偏离图，并输出复合患者偏差图。 还公开了附加的方法，系统和制造。
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4.发明授权System and method for disease diagnosis from patient structural deviation data 有权患者结构偏差数据的疾病诊断系统和方法公开(公告)号：US08010381B2
公开(公告)日：2011-08-30
申请号：US12123947
申请日：2008-05-20
申请人： Saad Ahmed Sirohey , Gopal B. Avinash , Fausto J. Espinal , Zhongmin Lin , Ananth Mohan , Tamanna Bembenek
发明人： Saad Ahmed Sirohey , Gopal B. Avinash , Fausto J. Espinal , Zhongmin Lin , Ananth Mohan , Tamanna Bembenek
IPC分类号： G06Q10/00
摘要： A data processing technique is provided. In one embodiment, a computer-implemented method includes accessing patient deviation data of a structural difference between a patient anatomical feature and a standardized anatomical feature. The method may also include comparing the patient deviation data to reference deviation data sets representative of multiple disease types. Each reference deviation data set may be representative of an expected deviation from the standardized anatomical feature for a particular disease type. The method may further include automatically identifying one or more potential patient disease types based at least in part on the comparison. Additional methods, systems, and manufactures are also disclosed.
摘要翻译： 提供了一种数据处理技术。 在一个实施例中，计算机实现的方法包括访问患者解剖特征与标准化解剖特征之间的结构差异的患者偏差数据。 该方法还可以包括将患者偏差数据与代表多种疾病类型的参考偏差数据集进行比较。 每个参考偏差数据集可以代表对于特定疾病类型的与标准化解剖特征的期望偏差。 该方法还可以包括至少部分地基于比较来自动识别一个或多个潜在的患者疾病类型。 还公开了附加的方法，系统和制造。
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公开(公告)号：US20090292478A1
公开(公告)日：2009-11-26
申请号：US12123918
申请日：2008-05-20
申请人： Gopal B. Avinash , Saad Ahmed Sirohey , Fausto J. Espinal , Zhongmin Lin , Ananth Mohan , Tamanna Bembenek
发明人： Gopal B. Avinash , Saad Ahmed Sirohey , Fausto J. Espinal , Zhongmin Lin , Ananth Mohan , Tamanna Bembenek
CPC分类号： G06T7/0012 , G06F19/00 , G06F19/324 , G06T2207/10072 , G06T2207/30016 , G16H15/00
摘要： A data processing technique is provided. In one embodiment, a computer-implemented method includes accessing reference deviation maps for a plurality of disease types. The reference deviation maps may include subsets of maps associated with severity levels of respective disease types, and a disease severity score may be associated with each severity level. The method may include selecting patient severity levels for multiple disease types based on the subsets of reference deviation maps. Also, the method may include automatically calculating a combined patient disease severity score based at least in part on the disease severity scores associated with the selected patient severity levels, and may include outputting a report based at least in part on the combined patient disease severity score. Additional methods, systems, and manufactures are also disclosed.
摘要翻译： 提供了一种数据处理技术。 在一个实施例中，计算机实现的方法包括访问多种疾病类型的参考偏差图。 参考偏离图可以包括与各种疾病类型的严重性水平相关联的地图子集，并且疾病严重性评分可以与每个严重性级别相关联。 该方法可以包括基于参考偏差图的子集来选择多种疾病类型的患者严重性水平。 此外，该方法可以包括至少部分地基于与所选择的患者严重性水平相关联的疾病严重性评分来自动计算组合的患者疾病严重性评分，并且可以包括至少部分地基于组合的患者疾病严重程度评分来输出报告 。 还公开了附加的方法，系统和制造。
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公开(公告)号：US08180125B2
公开(公告)日：2012-05-15
申请号：US12123911
申请日：2008-05-20
CPC分类号： G06T7/0014 , G06F19/00 , G06F19/324 , G06Q50/24 , G06T2207/10072 , G06T2207/30016 , G16H15/00
摘要： A data processing technique is provided. In one embodiment, a computer-implemented method includes accessing patient image and non-image deviation scores derived through respective comparisons of patient image and non-image data to standardized image and non-image data. The method may also include processing the image and non-image deviation scores to generate a visual output indicative of differences between the patient image and non-image data, and the standardized image and non-image data, respectively. Further, the method may include displaying the visual output. Additional methods, systems, and manufactures are also disclosed.
摘要翻译： 提供了一种数据处理技术。 在一个实施例中，计算机实现的方法包括通过对患者图像和非图像数据的各自比较导出的患者图像和非图像偏差得分进行标准化图像和非图像数据。 该方法还可以包括处理图像和非图像偏差得分以分别产生指示患者图像和非图像数据之间的差异的视觉输出，以及标准化图像和非图像数据。 此外，该方法可以包括显示视觉输出。 还公开了附加的方法，系统和制造商。
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公开(公告)号：US08430816B2
公开(公告)日：2013-04-30
申请号：US12123918
申请日：2008-05-20
申请人： Gopal B. Avinash , Saad Ahmed Sirohey , Fausto J. Espinal , Zhongmin Lin , Ananth Mohan , Tamanna Bembenek
发明人： Gopal B. Avinash , Saad Ahmed Sirohey , Fausto J. Espinal , Zhongmin Lin , Ananth Mohan , Tamanna Bembenek
CPC分类号： G06T7/0012 , G06F19/00 , G06F19/324 , G06T2207/10072 , G06T2207/30016 , G16H15/00
摘要： A data processing technique is provided. In one embodiment, a computer-implemented method includes accessing reference deviation maps for a plurality of disease types. The reference deviation maps may include subsets of maps associated with severity levels of respective disease types, and a disease severity score may be associated with each severity level. The method may include selecting patient severity levels for multiple disease types based on the subsets of reference deviation maps. Also, the method may include automatically calculating a combined patient disease severity score based at least in part on the disease severity scores associated with the selected patient severity levels, and may include outputting a report based at least in part on the combined patient disease severity score. Additional methods, systems, and manufactures are also disclosed.
摘要翻译： 提供了一种数据处理技术。 在一个实施例中，计算机实现的方法包括访问多种疾病类型的参考偏差图。 参考偏离图可以包括与各种疾病类型的严重性水平相关联的地图子集，并且疾病严重性评分可以与每个严重性级别相关联。 该方法可以包括基于参考偏差图的子集来选择多种疾病类型的患者严重性水平。 此外，该方法可以包括至少部分地基于与所选择的患者严重性水平相关联的疾病严重性评分来自动计算组合的患者疾病严重性评分，并且可以包括至少部分地基于组合的患者疾病严重程度评分来输出报告 。 还公开了附加的方法，系统和制造。
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8.发明申请System and Method for Mapping Structural and Functional Deviations in an Anatomical Region 有权用于映射解剖区域结构和功能偏差的系统和方法公开(公告)号：US20090292551A1
公开(公告)日：2009-11-26
申请号：US12123824
申请日：2008-05-20
IPC分类号： G06Q50/00
CPC分类号： G06Q50/22 , G06F19/00 , G06F19/321 , G06Q10/10 , G06T7/0012 , G06T2207/10072 , G06T2207/20221 , G06T2207/30016 , G16H50/20
摘要： A data processing technique is provided. In one embodiment, a computer-implemented method includes accessing individual patient deviation maps indicative of a structural difference and a functional difference, respectively, of at least one anatomical region of a patient with respect to standardized reference image data. The method may also include generating a composite patient deviation map indicative of both the structural difference and the functional difference based on at least the individual patient deviation maps, and outputting the composite patient deviation map. Additional methods, systems, and manufactures are also disclosed.
摘要翻译： 提供了一种数据处理技术。 在一个实施例中，计算机实现的方法包括分别指示相对于标准化参考图像数据的患者的至少一个解剖区域的结构差异和功能差异的各个患者偏差映射。 该方法还可以包括基于至少各个患者偏差图来生成指示结构差异和功能差异的复合患者偏离图，并输出复合患者偏差图。 还公开了附加的方法，系统和制造。
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9.发明授权Determining mechanical force on aneurysms from a fluid dynamic model driven by vessel blood flow information 有权从血管血流信息驱动的流体动力学模型确定动脉瘤的机械力公开(公告)号：US09427173B2
公开(公告)日：2016-08-30
申请号：US12118628
申请日：2008-05-09
CPC分类号： A61B5/1075 , A61B5/02007 , A61B6/032 , A61B6/481 , A61B6/504 , G06F19/00 , G06F19/321 , G06T7/0012 , G06T15/08 , G06T2207/10081 , G06T2207/10088 , G06T2207/30101 , G16H50/20 , G16H50/50
摘要： Systems, methods and apparatus are provided through which in some implementations changes in an aneurysm in a patient over time are identified by determining temporal differences between segmented aneurysms in a plurality of longitudinal exams and visually presenting the temporal differences.
摘要翻译： 提供了系统，方法和装置，在一些实施方式中，通过确定多个纵向检查中的分段动脉瘤之间的时间差异并在视觉上呈现时间差异来识别患者随时间变化的动脉瘤的变化。
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10.发明授权Method and apparatus for synchronizing corresponding landmarks among a plurality of images 有权用于在多个图像之间同步对应的界标的方法和装置公开(公告)号：US08675929B2
公开(公告)日：2014-03-18
申请号：US11836636
申请日：2007-08-09
申请人： Saad Ahmed Sirohey , Gopal B. Avinash , Jerome Francois Knoplioch , Laurent Launay , Renaud Capolunghi
发明人： Saad Ahmed Sirohey , Gopal B. Avinash , Jerome Francois Knoplioch , Laurent Launay , Renaud Capolunghi
IPC分类号： G06K9/00
CPC分类号： G06T7/38 , G06T7/33 , G06T2207/30028
摘要： Certain embodiments of the present invention provide a system and method for synchronized viewing of a plurality of images of an object. Corresponding landmarks of an object are synchronized between a first image set and a second image set. In an embodiment, the landmarks are folds of a human colon and the first image set and second images sets are computerized tomography scans, at least one image set being a prone scan of a portion of anatomy and at least one image set being a supine scan of a portion of the anatomy. An indicator for at least a first location in a first image set is displayed. The location of a second location in a second image set of an object is determined, wherein the second location corresponds to the first location of the object. The second location in the second image set is displayed.
摘要翻译： 本发明的某些实施例提供了用于同步观看对象的多个图像的系统和方法。 对象的对应的地标在第一图像集和第二图像集之间被同步。 在一个实施例中，地标是人类冒号的折叠，并且第一图像集和第二图像集合是计算机断层扫描，至少一个图像集合是解剖部分的俯视扫描，并且至少一个图像集合是仰卧扫描 的解剖结构的一部分。 显示第一图像集中的至少第一位置的指示符。 确定对象的第二图像集中的第二位置的位置，其中第二位置对应于对象的第一位置。 显示第二个图像集中的第二个位置。
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