Systems, methods and apparatus to offset correction of X-ray images
    32.
    发明申请
    Systems, methods and apparatus to offset correction of X-ray images 有权
    补偿X射线图像校正的系统,方法和装置

    公开(公告)号:US20060291624A1

    公开(公告)日:2006-12-28

    申请号:US11165775

    申请日:2005-06-25

    CPC classification number: G03B42/023 H04N5/32 H04N5/3651

    Abstract: Systems and methods are provided for offset correction of images from a flat panel detector. In some embodiments, the apparatus and method develops one or more offset maps, acquired during system idle, for the imaging system at a plurality of exposure windows. In some embodiments, exposure parameters acquired for the imaging system before image acquisition are used to select an offset map to subtract from subsequent X-ray images. In some further embodiments, executable instructions are disclosed for directing a processor to compile one or more offset map and exposure parameters to subtract based on a selected offset map noise elements from X-ray images and thereby minimizing the time between image acquisition and display of processed images.

    Abstract translation: 提供了系统和方法用于偏移校正来自平板检测器的图像。 在一些实施例中,该装置和方法开发在多个曝光窗口处的成像系统的系统空闲期间获取的一个或多个偏移映射。 在一些实施例中,使用在图像获取之前为成像系统获取的曝光参数来选择偏移映射以从后续X射线图像中减去。 在一些另外的实施例中,公开了可执行指令,用于指示处理器编译一个或多个偏移映射和曝光参数,以便基于来自X射线图像的所选择的偏移映射噪声元素减去,从而最小化图像获取和处理的显示之间的时间 图片。

    Method, apparatus and computer program product for constructing a diagnostic network model
    33.
    发明申请
    Method, apparatus and computer program product for constructing a diagnostic network model 有权
    用于构建诊断网络模型的方法,装置和计算机程序产品

    公开(公告)号:US20050028033A1

    公开(公告)日:2005-02-03

    申请号:US10631697

    申请日:2003-07-31

    CPC classification number: G06F11/2257 G05B23/0283

    Abstract: A method, apparatus and computer program product are provided for constructing a diagnostic network model in a more efficient and timely manner and with improved consistency. A structured electronic representation of a document is automatically reviewed to identify the symptoms experienced by the complex system, the plurality of components of the complex system and the causal relationships between a failure of the respective components and the occurrence of the various symptoms. Respective probabilities can be associated with the causal relationships between the symptoms and the failure of the various components. A network model, such as a Bayesian network model, may then be automatically constructed to represent the symptoms, the components, the causal relationships between failure of the components and exhibition of the symptoms, and the probabilities of the respective causal relationships.

    Abstract translation: 提供了一种方法,装置和计算机程序产品,用于以更有效和及时的方式构建诊断网络模型并且具有改进的一致性。 自动审查文件的结构化电子表示,以识别复杂系统所经历的症状,复杂系统的多个组成部分以及各个部件的故障与各种症状的发生之间的因果关系。 相关概率可能与症状和各种成分的失败之间的因果关系相关。 然后,可以自动构建网络模型,例如贝叶斯网络模型,以代表症状,组成部分,组件失败和症状展现之间的因果关系以及各种因果关系的概率。

    Radiographic testing system with learning-based performance prediction
    35.
    发明授权
    Radiographic testing system with learning-based performance prediction 失效
    射线检测系统与基于学习的性能预测

    公开(公告)号:US6151383A

    公开(公告)日:2000-11-21

    申请号:US224242

    申请日:1998-12-30

    CPC classification number: A61B6/542 A61B6/00 H05G1/44

    Abstract: Disclosed herein is a radiographic imaging system which performs system performance monitoring by (1) using automatic exposure control (AEC) components to predict the average image gray level; (2) obtaining measured average image gray levels from the portions of the X-ray detector situated in the X-ray shadow of the AEC components; and then (3) comparing the predicted and measured values. The predicted values are determined by use of a prediction model which is modified by a learning system over successive exposures to provide more accurate predictions. After the learning system has sufficiently developed the prediction model, the error between the predicted and measured gray level values may be monitored in later exposures and an error routine can be activated if the error exceeds a predetermined threshold. In this case, the error may indicate that system components in the imaging chain (e.g., the detector or AEC components) require maintenance.

    Abstract translation: 本文公开了一种射线成像系统,其通过(1)使用自动曝光控制(AEC)分量来预测平均图像灰度级来执行系统性能监视; (2)从位于AEC组件的X射线阴影中的X射线检测器的部分获得测量的平均图像灰度; 然后(3)比较预测值和测量值。 预测值通过使用由学习系统对连续曝光进行修改以提供更准确的预测的预测模型来确定。 在学习系统充分发展了预测模型之后,可以在稍后的曝光中监视预测和测量的灰度值之间的误差,并且如果误差超过预定阈值,则可以激活错误例程。 在这种情况下,错误可能表明成像链中的系统组件(例如,检测器或AEC组件)需要维护。

    X-ray system and method for sampling image data
    37.
    发明授权
    X-ray system and method for sampling image data 有权
    X射线系统和图像数据采样方法

    公开(公告)号:US08576986B2

    公开(公告)日:2013-11-05

    申请号:US13011033

    申请日:2011-01-21

    CPC classification number: G01T1/247 A61B6/4494 G01T1/24

    Abstract: An X-ray imaging method includes in a digital X-ray detector including an array of discrete picture elements each including a photodiode and a transistor, applying a first voltage to the transistors of the discrete picture elements. The method also includes preparing for acquisition of X-ray image data by sampling data from the discrete picture elements while applying a second voltage to the transistors of the discrete picture elements not then being sampled, the second voltage being more negative than the first voltage. The method further includes receiving X-ray radiation on the detector from a source. The method yet further includes sampling X-ray image data from the discrete picture elements while applying the second voltage to the transistors of the discrete picture elements not then being sampled.

    Abstract translation: 一种X射线成像方法包括:数字X射线检测器,包括各自包括光电二极管和晶体管的离散像素阵列,向离散像素的晶体管施加第一电压。 该方法还包括准备通过从离散像素采样数据来获取X射线图像数据,同时向未被采样的离散像素的晶体管施加第二电压,第二电压比第一电压更负。 该方法还包括从源接收检测器上的X射线辐射。 该方法还包括从离散像素采样X射线图像数据,同时将第二电压施加到未被采样的离散像素的晶体管。

    X-RAY SYSTEM AND METHOD FOR SAMPLING IMAGE DATA
    38.
    发明申请
    X-RAY SYSTEM AND METHOD FOR SAMPLING IMAGE DATA 有权
    X射线系统和采样图像数据的方法

    公开(公告)号:US20120189100A1

    公开(公告)日:2012-07-26

    申请号:US13011033

    申请日:2011-01-21

    CPC classification number: G01T1/247 A61B6/4494 G01T1/24

    Abstract: An X-ray imaging method includes in a digital X-ray detector including an array of discrete picture elements each including a photodiode and a transistor, applying a first voltage to the transistors of the discrete picture elements. The method also includes preparing for acquisition of X-ray image data by sampling data from the discrete picture elements while applying a second voltage to the transistors of the discrete picture elements not then being sampled, the second voltage being more negative than the first voltage. The method further includes receiving X-ray radiation on the detector from a source. The method yet further includes sampling X-ray image data from the discrete picture elements while applying the second voltage to the transistors of the discrete picture elements not then being sampled.

    Abstract translation: 一种X射线成像方法包括:数字X射线检测器,包括各自包括光电二极管和晶体管的离散像素阵列,向离散像素的晶体管施加第一电压。 该方法还包括准备通过从离散像素采样数据来获取X射线图像数据,同时向未被采样的离散像素的晶体管施加第二电压,第二电压比第一电压更负。 该方法还包括从源接收检测器上的X射线辐射。 该方法还包括从离散像素采样X射线图像数据,同时将第二电压施加到未被采样的离散像素的晶体管。

    REPEAT CLIP IDENTIFICATION IN VIDEO DATA
    40.
    发明申请
    REPEAT CLIP IDENTIFICATION IN VIDEO DATA 审中-公开
    在视频数据中重新标记CLIP

    公开(公告)号:US20120114167A1

    公开(公告)日:2012-05-10

    申请号:US12092616

    申请日:2005-11-07

    Abstract: A method and System for identifying repeat clip instances in video data. The method comprises partitioning the video data into ordered video units utilising content-based keyframe sampling, wherein each video unit comprises a sequence interval between two consecutive keyframes; creating a fingerprint for each video unit; grouping at least two consecutive video units into one time-indexed video segment; and identifying the repeat clip instances based on correlation of the video segments. The method can be used for both discovering unknown repeat video clips and identifying instances of known repeat video clips automatically. The method can be used to identify short repeat video clips from less than a second long to a few minutes, such as tv station logos, program logos, tv commercials which are widely used in news video and other daily broadcasting programs.

    Abstract translation: 用于识别视频数据中的重复剪辑实例的方法和系统。 该方法包括利用基于内容的关键帧采样将视频数据划分为有序视频单元,其中每个视频单元包括两个连续关键帧之间的序列间隔; 为每个视频单元创建指纹; 将至少两个连续的视频单元分组成一个时间索引的视频段; 以及基于视频段的相关性来识别重复剪辑实例。 该方法可用于发现未知重复视频剪辑并自动识别已知重复视频剪辑的实例。 该方法可用于识别从短到一秒钟到几分钟的短重复视频剪辑,例如在新闻视频和其他日常广播节目中广泛使用的电视台标志,节目标志,电视广告。

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