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71. 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。

72. 发明授权

US08430816B2 System and method for analysis of multiple diseases and severities 有权
标题翻译：多种疾病和严重程度分析的系统和方法
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
IPC分类号： G06K9/00 , G06K6/20 , G06K9/36 , G06K9/46 , G06K9/62 , G06K9/66 , A61B5/00 , A61B5/05
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。

73. 发明申请

US20120243761A1 SYSTEM AND METHOD FOR ESTIMATING VASCULAR FLOW USING CT IMAGING 审中-公开
标题翻译：使用CT成像估算血管流量的系统和方法
公开(公告)号：US20120243761A1
公开(公告)日：2012-09-27
申请号：US13425724
申请日：2012-03-21
申请人： Robert F. Senzig , Ravikanth Avancha , Bijan Dorri , Sandeep Dutta , Steven J. Gray , Jiang Hsieh , John Irvin Jackson , Giridhar Jothiprasad , Paul Edgar Licato , Darin Robert Okerlund , Toshihiro Rifu , Saad Ahmed Sirohey , Basel Taha , Peter Michael Edic , Jerome Knoplioch , Rahul Bhotika
发明人： Robert F. Senzig , Ravikanth Avancha , Bijan Dorri , Sandeep Dutta , Steven J. Gray , Jiang Hsieh , John Irvin Jackson , Giridhar Jothiprasad , Paul Edgar Licato , Darin Robert Okerlund , Toshihiro Rifu , Saad Ahmed Sirohey , Basel Taha , Peter Michael Edic , Jerome Knoplioch , Rahul Bhotika
IPC分类号： G06K9/00 , A61B6/03
CPC分类号： G06T11/008 , A61B6/032 , A61B6/481 , A61B6/482 , A61B6/503 , A61B6/504 , A61B6/507 , A61B6/5217 , A61B6/5294 , G06F19/00 , G06T7/0016 , G06T2207/10081 , G06T2207/30104 , G06T2211/404
摘要： A system and method for estimating vascular flow using CT imaging include a computer readable storage medium having stored thereon a computer program comprising instructions, which, when executed by a computer, cause the computer to acquire a first set of data comprising anatomical information of an imaging subject, the anatomical information comprises information of at least one vessel. The instructions further cause the computer to process the anatomical information to generate an image volume comprising the at least one vessel, generate hemodynamic information based on the image volume, and acquire a second set of data of the imaging subject. The computer is also caused to generate an image comprising the hemodynamic information in combination with a visualization based on the second set of data.
摘要翻译：使用CT成像估计血管流量的系统和方法包括其上存储有包括指令的计算机程序的计算机可读存储介质，所述计算机程序在由计算机执行时使计算机获取包含成像的解剖信息的第一组数据解剖信息包括至少一个血管的信息。指令还使计算机处理解剖信息以产生包括至少一个容器的图像体积，基于图像体积产生血液动力学信息，并获取成像对象的第二组数据。还引起计算机根据第二组数据产生包括血液动力学信息与可视化结合的图像。

74. 发明授权

US08224054B2 Method and apparatus for virtual subtraction of stool from registration and shape based analysis of prone and supine scans of the colon 有权
标题翻译：方法和装置，用于从登记的虚拟减法和结肠的俯卧和仰卧扫描的形状分析
公开(公告)号：US08224054B2
公开(公告)日：2012-07-17
申请号：US12463909
申请日：2009-05-11
申请人： Saad Ahmed Sirohey , Gopal B. Avinash
发明人： Saad Ahmed Sirohey , Gopal B. Avinash
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06T7/11 , G06T7/33 , G06T7/38 , G06T7/49 , G06T2207/10081 , G06T2207/30028 , G06T2207/30032
摘要： Certain embodiments of the present invention provide a system and method for identifying stool particles in virtual dissection data for a colon. A shape classification may be determined for a segmented colon by three-dimensional filtering of a prone data set and a supine data set. The shape classification may be mapped onto a prone virtual dissection image and a supine virtual dissection image. The prone data set and the supine data set may be registered using one-dimensional registration to determine a registration. Shapes may be localized based on the shape classification and the registration for the prone virtual dissection and the supine virtual dissection. A distance metric may be applied to the localized shapes to identify stool particles. The identified stool particles may be suppressed. A prone virtual dissected image and a supine virtual dissected image may be displayed having the stool particles suppressed.
摘要翻译：本发明的某些实施方案提供了用于鉴定结肠虚拟解剖数据中的粪便颗粒的系统和方法。可以通过对倾斜数据集和仰卧数据集进行三维过滤来确定分割结肠的形状分类。形状分类可以映射到俯卧虚拟解剖图像和仰卧虚拟解剖图像。倾斜数据集和仰卧数据集可以使用一维注册来登记以确定注册。形状可以基于形状分类和倾斜虚拟解剖和仰卧虚拟解剖的注册进行定位。距离度量可以应用于局部形状以识别粪便颗粒。可以抑制鉴定的粪便颗粒。可以显示容易的虚拟解剖图像和仰卧虚拟解剖图像，其中粪便颗粒被抑制。

75. 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。

76. 发明授权

US08081809B2 Methods and systems for optimizing high resolution image reconstruction 有权
标题翻译：优化高分辨率图像重建的方法和系统
公开(公告)号：US08081809B2
公开(公告)日：2011-12-20
申请号：US11562505
申请日：2006-11-22
申请人： Sandeep Dutta , Saad Ahmed Sirohey , Gopal B. Avinash , John V. Skinner , Patricia Le Nezet , DeAnn Marie Haas , Sardar Mal Gautham , Mukta C. Joshi
发明人： Sandeep Dutta , Saad Ahmed Sirohey , Gopal B. Avinash , John V. Skinner , Patricia Le Nezet , DeAnn Marie Haas , Sardar Mal Gautham , Mukta C. Joshi
IPC分类号： G06K9/00
CPC分类号： G06T11/006 , A61B6/032 , A61B6/583
摘要： Methods and apparatus for reconstructing a multiple resolution images of an object are provided. The method includes reconstructing a first three-dimensional image at a first resolution, determining at least one volume of interest in the generated image, and reconstructing a second three-dimensional image of the determined at least one volume of interest at a second resolution, the second resolution being higher than the first resolution such that a quantification of image structures is facilitated.
摘要翻译：提供了用于重建对象的多个分辨率图像的方法和装置。该方法包括以第一分辨率重建第一三维图像，确定生成的图像中的至少一个感兴趣的体积，以及以第二分辨率重建所确定的至少一个感兴趣体积的第二三维图像，第二分辨率高于第一分辨率，使得图像结构的量化变得容易。

77. 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。

78. 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。

79. 发明授权

US07929737B2 Method and system for automatically generating a disease severity index 有权
标题翻译：自动产生疾病严重度指标的方法和系统
公开(公告)号：US07929737B2
公开(公告)日：2011-04-19
申请号：US11523878
申请日：2006-09-20
申请人： Saad Ahmed Sirohey , Gopal B. Avinash , Tamanna Bembenek
发明人： Saad Ahmed Sirohey , Gopal B. Avinash , Tamanna Bembenek
IPC分类号： G06K9/00
CPC分类号： G06K9/00 , G06F19/00 , G06F19/321 , G16H50/30 , G16H50/70
摘要： Methods and systems for automatically generating a severity index for images of anatomical features of a patient are provided. In an exemplary embodiment, an image of an anatomical feature of a patient is compared with a normal, standardized image of the same anatomical feature. Based on this comparison, a deviation image for the anatomical feature is generated that represents the degree and manner the acquired image deviates from normal for that anatomical feature. The deviation image is automatically pattern matched against multiple images of known disease severity for the anatomical feature. Based on the automated pattern match, a known disease severity, such as in the form of a severity index, is provided as corresponding anatomical feature for the patient.
摘要翻译：提供了用于自动生成患者解剖特征图像的严重性指标的方法和系统。在示例性实施例中，将患者的解剖特征的图像与相同解剖特征的正常的标准化图像进行比较。基于该比较，生成用于解剖特征的偏差图像，其表示所获取的图像从该解剖特征偏离正常的程度和方式。对于解剖特征，偏差图像与已知疾病严重程度的多个图像自动模式匹配。基于自动模式匹配，提供已知疾病严重性，例如以严重性指数的形式，作为患者的相应的解剖特征。

80. 发明申请

US20110055360A1 NETWORK DATA TRANSMISSION METHOD AND SYSTEM 有权
标题翻译：网络数据传输方法与系统
公开(公告)号：US20110055360A1
公开(公告)日：2011-03-03
申请号：US12942695
申请日：2010-11-09
申请人： Cheryl Ruth Jones , Toan T. Le , Rakesh Mohan Lal , Saad Ahmed Sirohey , David Charles Mack
发明人： Cheryl Ruth Jones , Toan T. Le , Rakesh Mohan Lal , Saad Ahmed Sirohey , David Charles Mack
IPC分类号： G06F15/16
CPC分类号： H04N19/17 , H04L65/607 , H04N21/23439 , H04N21/2402 , H04N21/25891 , H04N21/47202
摘要： A method for managing data transmission between computing devices is disclosed. In one embodiment, the method includes monitoring a plurality of parameters of a computer network that includes a server and a client. The plurality of parameters may include a client resource parameter, a server resource parameter, and a network operating parameter. The disclosed method may also include automatically determining a desired compression level at which to send data to the client based at least in part on the client resource parameter, the server resource parameter, and the network operating parameter. Further, in one embodiment the method may include communicating the data from the server to the client at the desired compression level in response to a client request for the data. Various other methods, systems, and manufactures are also disclosed.
摘要翻译：公开了一种用于管理计算设备之间的数据传输的方法。在一个实施例中，该方法包括监视包括服务器和客户端的计算机网络的多个参数。多个参数可以包括客户端资源参数，服务器资源参数和网络操作参数。所公开的方法还可以包括至少部分地基于客户端资源参数，服务器资源参数和网络操作参数来自动确定向客户端发送数据的期望压缩级别。此外，在一个实施例中，该方法可以包括响应于客户端对数据的请求，以期望的压缩级别将数据从服务器传送到客户端。还公开了各种其它方法，系统和制造。

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