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    • 6. 发明申请
    • ADAPTIVE GRADIENT WEIGHTING TECHNIQUE FOR DETECTOR BAD CELL CORRECTION
    • 用于检测器BAD细胞校正的自适应梯度称重技术
    • US20110116700A1
    • 2011-05-19
    • US13009584
    • 2011-01-19
    • Baojun LiJiang Hsieh
    • Baojun LiJiang Hsieh
    • G06K9/00G06F19/00
    • G01T1/2985
    • An imaging system includes a two-dimensional detector having a plurality of cells wherein each cell is configured to detect energy or signal passing through an object. The imaging system includes a computer programmed to acquire imaging data for the plurality of cells, identify a cell to be corrected, based on the imaging data, interpolate Ix and Iy for the identified cell based on neighbor cells, and calculate local gradients gx and gy between the identified cell and its neighbor cells based on the interpolation. The computer is further programmed to calculate weighting factors wx and wy based on the local gradients, calculate a corrected final value I(0,0) for the identified cell, and correct the identified cell with the corrected final value.
    • 成像系统包括具有多个单元的二维检测器,其中每个单元被配置为检测通过物体的能量或信号。 成像系统包括被编程为采集多个单元的成像数据的计算机,基于成像数据识别要校正的单元,基于相邻单元对所识别的单元插值Ix和Iy,并计算局部梯度gx和gy 基于内插,在所识别的小区及其相邻小区之间。 计算机还被编程为基于局部梯度计算加权因子wx和wy,计算所识别的单元的校正后的最终值I(0,0),并用校正的最终值校正所识别的单元。
    • 9. 发明申请
    • NOISE REDUCTION METHOD FOR DUAL-ENERGY IMAGING
    • 用于双能量成像的噪声减少方法
    • US20110158498A1
    • 2011-06-30
    • US12650116
    • 2009-12-30
    • Baojun LiNaveen Stephan ChandraJed Douglas PackJiang HsiehXiaoye WuMary Sue Kulpins
    • Baojun LiNaveen Stephan ChandraJed Douglas PackJiang HsiehXiaoye WuMary Sue Kulpins
    • G06K9/62
    • G06T11/008G06T2211/408
    • A method is provided that includes acquiring a first set of image data from X-rays produced at a first energy level and a second set of image data from X-rays produced at a second energy level. The method includes generating a first noise mask for a first basis material and a second noise mask for a second basis material and removing pixels corresponding to cross contaminating structural information from the first noise mask and the second noise mask. The method includes processing a first materially decomposed image generated from the first set of image data and the second set of digital data using the second noise mask after removal of the cross contaminating structural information and processing a second MD image generated from the first set of image data and the second set of digital data using the first noise mask after removal of the cross contaminating structural information.
    • 提供了一种方法,其包括从在第二能量级产生的X射线以从第一能量级产生的X射线和第二组图像数据获取第一组图像数据。 该方法包括为第一基材生成第一噪声掩模和第二基材的第二噪声掩模,并从第一噪声掩模和第二噪声掩模去除对应于交叉污染结构信息的像素。 该方法包括在去除交叉污染的结构信息之后处理从第一组图像数据和第二组数字数据生成的第一物理分解图像,并且处理从第一组图像生成的第二MD图像 数据和第二组数字数据,在去除交叉污染结构信息之后使用第一噪声掩模。