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    Systems and Methods for Computer Aided Diagnosis and Decision Support in Whole-Body Imaging
    1.
    发明申请
    Systems and Methods for Computer Aided Diagnosis and Decision Support in Whole-Body Imaging 有权
    全身成像中计算机辅助诊断和决策支持系统与方法

    公开(公告)号：US20110142320A1

    公开(公告)日：2011-06-16

    申请号：US12968492

    申请日：2010-12-15

    申请人： Alok Gupta ,  Arun Krishnan ,  Xiang Sean Zhou

    发明人： Alok Gupta ,  Arun Krishnan ,  Xiang Sean Zhou

    IPC分类号： G06K9/00

    CPC分类号： G06T7/0012 ,  G06F19/00 ,  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。

    Systems and methods for computer aided diagnosis and decision support in whole-body imaging
    2.
    发明授权
    Systems and methods for computer aided diagnosis and decision support in whole-body imaging 有权
    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：US08588495B2

    公开(公告)日：2013-11-19

    申请号：US12968492

    申请日：2010-12-15

    申请人： Alok Gupta ,  Arun Krishnan ,  Xiang Sean Zhou

    发明人： Alok Gupta ,  Arun Krishnan ,  Xiang Sean Zhou

    IPC分类号： G06K9/00 ,  A61B5/00 ,  A61B5/05 ,  G06Q10/00

    CPC分类号： G06T7/0012 ,  G06F19/00 ,  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。

    System and Method for Performing Probabilistic Classification and Decision Support Using Multidimensional Medical Image Databases
    6.
    发明申请
    System and Method for Performing Probabilistic Classification and Decision Support Using Multidimensional Medical Image Databases 有权
    使用多维医学图像数据库执行概率分类和决策支持的系统和方法

    公开(公告)号：US20090080732A1

    公开(公告)日：2009-03-26

    申请号：US12243199

    申请日：2008-10-01

    申请人： Xiang Sean Zhou ,  Dorin Comaniciu ,  Alok Gupta ,  Visvanathan Ramesh ,  Bhavani Duggirala ,  Diane Paine

    发明人： Xiang Sean Zhou ,  Dorin Comaniciu ,  Alok Gupta ,  Visvanathan Ramesh ,  Bhavani Duggirala ,  Diane Paine

    IPC分类号： G06K9/00 ,  G06Q50/00

    CPC分类号： G06K9/6276 ,  A61B8/0883 ,  G06F19/00 ,  G06K9/6256 ,  G06K2209/05 ,  G06Q50/22 ,  G16H50/20 ,  Y10S128/92 ,  Y10S128/924

    摘要： A system and method for providing decision support to a physician during a medical examination is disclosed. Data is received from a sensor representing a particular medical measurement. The received data includes image data. The received data and context data is analyzed with respect to one or more sets of training models. Probability values for the particular medical measurement and other measurements to be taken are derived based on the analysis and based on identified classes. The received image data is compared with training images. Distance values are determined between the received image data and the training images, and the training images are associated with the identified classes. Absolute value feature sensitivity scores are derived for the particular medical measurement and other measurements to be taken based on the analysis. The probability values, distance values and absolute value feature sensitivity scores are outputted to the user.

    摘要翻译： 公开了一种用于在医学检查期间向医师提供决策支持的系统和方法。 从代表特定医疗测量的传感器接收数据。 所接收的数据包括图像数据。 相对于一组或多组训练模型分析接收到的数据和上下文数据。 特定医疗测量和其他测量的概率值基于分析并基于识别的类别导出。 将接收到的图像数据与训练图像进行比较。 在接收的图像数据和训练图像之间确定距离值，并且训练图像与所识别的类别相关联。 基于分析，针对特定医疗测量和其他测量得出绝对值特征灵敏度得分。 将概率值，距离值和绝对值特征灵敏度得分输出给用户。

    System and method for automatic trigger-ROI detection and monitoring during bolus tracking
    7.
    发明授权
    System and method for automatic trigger-ROI detection and monitoring during bolus tracking 有权
    用于自动触发的系统和方法 - 快速追踪期间的ROI检测和监测

    公开(公告)号：US09414798B2

    公开(公告)日：2016-08-16

    申请号：US12729274

    申请日：2010-03-23

    申请人： Ute Feuerlein ,  Arun Krishnan ,  Xiang Sean Zhou

    发明人： Ute Feuerlein ,  Arun Krishnan ,  Xiang Sean Zhou

    IPC分类号： A61B6/00 ,  A61B6/03 ,  A61B5/00

    CPC分类号： A61B6/504 ,  A61B5/7285 ,  A61B6/032 ,  A61B6/469 ,  A61B6/481 ,  A61B6/488 ,  A61B6/541

    摘要： A method for bolus tracking includes acquiring one or more baseline images. One or more trigger regions are automatically established within the baseline images. A bolus is administered. The automatically established trigger regions are monitored for bolus arrival at the one or more trigger regions. Bolus arrival at a volume of interest is forecasted based on the bolus arrival at the one or more trigger regions. A diagnostic scan of the volume of interest is acquired at the forecasted time.

    摘要翻译： 用于推注跟踪的方法包括获取一个或多个基线图像。 在基线图像内自动建立一个或多个触发区域。 施用推注。 监视自动建立的触发区域，以便推动到达一个或多个触发区域。 基于在一个或多个触发区域的推迟到达来预测到达感兴趣的体积。 在预测时间内获取感兴趣体积的诊断扫描。

    Systems and methods for robust learning based annotation of medical radiographs
    8.
    发明授权
    Systems and methods for robust learning based annotation of medical radiographs 有权
    用于健康学习的医学放射照片注释的系统和方法

    公开(公告)号：US08369593B2

    公开(公告)日：2013-02-05

    申请号：US12787916

    申请日：2010-05-26

    申请人： Zhigang Peng ,  Yimo Tao ,  Xiang Sean Zhou ,  Yiqiang Zhan ,  Arun Krishnan

    发明人： Zhigang Peng ,  Yimo Tao ,  Xiang Sean Zhou ,  Yiqiang Zhan ,  Arun Krishnan

    IPC分类号： G06K9/00 ,  A61B6/00

    CPC分类号： A61B6/032 ,  A61B6/469 ,  A61B6/488 ,  G06K9/3233 ,  G06K9/6231 ,  G06K9/6267 ,  G06K2209/05 ,  G06T7/12 ,  G06T7/73 ,  G06T2207/10081 ,  G06T2207/20104 ,  G06T2207/20164 ,  G06T2207/30048

    摘要： Systems and methods for performing a medical imaging study include acquiring a preliminary scan. A set of local feature candidates is automatically detected from the preliminary scan. The accuracy of each local feature candidate is assessed using multiple combinations of the other local feature candidates and removing a local feature candidate that is assessed to have the lowest accuracy. The assessing and removing steps are repeated until only a predetermined number of local feature candidates remain. A region of interest (ROI) is located from within the preliminary scan based on the remaining predetermined number of local feature candidates. A medical imaging study is performed based on the location of the ROI within the preliminary scan.

    摘要翻译： 用于执行医学成像研究的系统和方法包括获取初步扫描。 从初步扫描中自动检测一组本地特征候选。 使用其他本地特征候选者的多个组合来评估每个本地特征候选者的准确性，并且去除被评估为具有最低精度的局部特征候选。 重复评估和去除步骤，直到仅保留预定数量的局部特征候选。 感兴趣区域（ROI）基于剩余的预定数量的局部特征候选位于初步扫描内。 基于初步扫描中ROI的位置执行医学成像研究。

    SYSTEM AND METHOD FOR AUTOMATIC TRIGGER-ROI DETECTION AND MONITORING DURING BOLUS TRACKING
    9.
    发明申请
    SYSTEM AND METHOD FOR AUTOMATIC TRIGGER-ROI DETECTION AND MONITORING DURING BOLUS TRACKING 有权
    用于自动跟踪ROI检测和监控的系统和方法

    公开(公告)号：US20100249582A1

    公开(公告)日：2010-09-30

    申请号：US12729274

    申请日：2010-03-23

    申请人： Ute Feuerlein ,  Arun Krishnan ,  Xiang Sean Zhou

    发明人： Ute Feuerlein ,  Arun Krishnan ,  Xiang Sean Zhou

    IPC分类号： A61B6/00

    CPC分类号： A61B6/504 ,  A61B5/7285 ,  A61B6/032 ,  A61B6/469 ,  A61B6/481 ,  A61B6/488 ,  A61B6/541

    摘要： A method for bolus tracking includes acquiring one or more baseline images. One or more trigger regions are automatically established within the baseline images. A bolus is administered. The automatically established trigger regions are monitored for bolus arrival at the one or more trigger regions. Bolus arrival at a volume of interest is forecasted based on the bolus arrival at the one or more trigger regions. A diagnostic scan of the volume of interest is acquired at the forecasted time.

    摘要翻译： 用于推注跟踪的方法包括获取一个或多个基线图像。 在基线图像内自动建立一个或多个触发区域。 施用推注。 监视自动建立的触发区域，以便推动到达一个或多个触发区域。 基于在一个或多个触发区域的推迟到达来预测到达感兴趣的体积。 在预测时间内获取感兴趣体积的诊断扫描。