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    • 1. 发明授权
    • Method and system for prediction of exposure and dose area product for radiographic x-ray imaging
    • 用于放射X光成像的暴露和剂量面积积预测的方法和系统
    • US06422751B1
    • 2002-07-23
    • US09130779
    • 1998-08-07
    • Richard AufrichtigGary F. RelihanClarence L. Gordon, IIIBaoming Ma
    • Richard AufrichtigGary F. RelihanClarence L. Gordon, IIIBaoming Ma
    • G01D1800
    • H05G1/28
    • A neural network prediction has been provided for predicting radiation exposure and/or Air-Kerma at a predefined arbitrary distance during an x-ray exposure; and for predicting radiation exposure and/or Air-Kerma area product for a radiographic x-ray exposure. The Air-Kerma levels are predicted directly from the x-ray exposure parameters. The method or model is provided to predict the radiation exposure or Air-Kerma for an arbitrary radiographic x-ray exposure by providing input variables to identify the spectral characteristics of the x-ray beam, providing a neural net which has been trained to calculate the exposure or Air-Kerma value, and by scaling the neural net output by the calibrated tube efficiency, and the actual current through the x-ray tube and the duration of the exposure. The prediction for exposure/Air-Kerma further applies the actual source-to-object distance, and the prediction for exposure/Air-Kerma area product further applies the actual imaged field area at a source-to-image distance.
    • 已经提供了神经网络预测用于在x射线曝光期间以预定义的任意距离预测辐射暴露和/或空气凯尔玛; 并用于预测放射线照射和/或Air-Kerma区域产品用于放射X光曝光。 空气凯尔玛水平可以直接从x射线曝光参数预测。 提供该方法或模型以通过提供输入变量来识别X射线束的光谱特征来预测用于任意射线照相X射线曝光的辐射暴露或空气 - 凯尔马,提供已经被训练以计算 曝光或空气凯马值,以及通过校准管效率和通过X射线管的实际电流和曝光持续时间缩放神经网络输出。 对于曝光/空气凯马的预测进一步应用实际的源对象距离,并且曝光/空气 - 凯马面积产品的预测进一步在源到图像距离处应用实际的成像场区域。
    • 2. 发明授权
    • Exposure management and control system and method
    • 曝光管理与控制系统及方法
    • US06233310B1
    • 2001-05-15
    • US09351755
    • 1999-07-12
    • Gary F. RelihanClarence L. Gordon, IIIGeorge C. GoodmanBaoming Ma
    • Gary F. RelihanClarence L. Gordon, IIIGeorge C. GoodmanBaoming Ma
    • H05G144
    • H05G1/58A61B6/545H05G1/46
    • An exposure management and control system and method for x-ray technique selection is provided. Optimal x-ray technique, which affects image quality, can be accurately predetermined to use for any application. A patient model is combined with a closed loop brightness control, using a parameter that does not affect image quality. This is used to create a control system that operates as a knowledge based control system. The x-ray system brightness control system comprises a first and second regulator. The first regulator is an image quality, or brightness, regulator. The brightness regulator can have multiple functions, such as peak mA control, power limiter, skin dose limiter, and an override function. The second regulator is a dose error regulator. The second regulator is independent of the first regulator, and cooperates with the first regulator to provide x-ray technique optimization independent of brightness control.
    • 提供了一种用于x射线技术选择的曝光管理和控制系统和方法。 影响图像质量的最佳x射线技术可以被准确地预定为用于任何应用。 患者模型结合闭环亮度控制,使用不影响图像质量的参数。 这用于创建一个作为基于知识的控制系统运行的控制系统。 x射线系统亮度控制系统包括第一和第二调节器。 第一个调节器是图像质量或亮度调节器。 亮度调节器可以具有多种功能,如峰值mA控制,功率限制器,皮肤剂量限制器和覆盖功能。 第二个调节器是剂量误差调节器。 第二个调节器独立于第一个调节器,并与第一个调节器配合提供独立于亮度控制的x射线技术优化。