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    SOLID STATE PHOTOMULTIPLIER WITH IMPROVED PULSE SHAPE READOUT
    2.
    发明申请
    SOLID STATE PHOTOMULTIPLIER WITH IMPROVED PULSE SHAPE READOUT 有权
    具有改进的脉冲形状读取的固态光电二极管

    公开(公告)号：US20160308074A1

    公开(公告)日：2016-10-20

    申请号：US14688008

    申请日：2015-04-16

    Applicant: GENERAL ELECTRIC COMPANY

    Inventor： Sergei Ivanovich Dolinsky ,  Jianjun Guo ,  David Leo McDaniel ,  Ravindra Mohan Manjeshwar ,  Geng Fu

    IPC: H01L31/02 ,  H01L31/10

    CPC classification number: G01T1/247

    Abstract: Embodiments of a solid state photomultiplier are provided herein. In some embodiments, a solid state photomultiplier may include a plurality of pixels, wherein each pixel of the plurality of pixels comprises a plurality of subpixels; and a first set of buffer amplifiers, wherein each buffer amplifier of the first set of buffer amplifiers is respectively coupled to a subpixel of the plurality of subpixels.

    Abstract translation: 本文提供了固态光电倍增管的实施例。 在一些实施例中，固态光电倍增管可以包括多个像素，其中多个像素中的每个像素包括多个子像素; 以及第一组缓冲放大器，其中第一组缓冲放大器的每个缓冲放大器分别耦合到多个子像素的子像素。

    System and method for data driven gating of multiple bed positions
    3.
    发明授权
    System and method for data driven gating of multiple bed positions 有权
    用于多床位数据驱动门控的系统和方法

    公开(公告)号：US09471976B2

    公开(公告)日：2016-10-18

    申请号：US14626976

    申请日：2015-02-20

    Applicant: General Electric Company ,  King's College London

    Inventor： Sheshadri Thiruvenkadam ,  Krishna Seetharam Shriram ,  Ravindra Mohan Manjeshwar ,  Srikrishnan Viswanathan ,  Kris Filip Johan Jules Thielemans

    IPC: G06K9/00 ,  G06T7/00 ,  G06T7/20

    CPC classification number: G06T7/0012 ,  A61B6/037 ,  A61B6/5217 ,  A61B6/5241 ,  A61B6/5264 ,  A61B6/5288 ,  G06T7/20 ,  G06T7/262 ,  G06T2207/10104 ,  G06T2207/30004

    Abstract: A method implemented using at least one processor includes receiving time-varying image dataset generated by a medical imaging modality. The image dataset corresponds to a bed position and is affected by quasi-periodic motion data. The method also includes applying a signal decomposition technique to the time-varying image dataset to generate a plurality of dataset components and a plurality of motion signals. The method also includes determining reference data based on the time-varying image dataset, wherein the reference data is representative of a direction of the quasi-periodic motion. The method further includes deriving polarity of each of the plurality of motion signals based on the reference data to generate a plurality of sign corrected motion signals. The method also includes determining a gating signal corresponding to the bed position based on at least one of the plurality of sign corrected motion signals.

    Abstract translation: 使用至少一个处理器实现的方法包括接收由医学成像模式产生的时变图像数据集。 图像数据集对应于床位置并受准周期运动数据的影响。 该方法还包括将信号分解技术应用于时变图像数据集以产生多个数据集分量和多个运动信号。 该方法还包括基于时变图像数据集确定参考数据，其中参考数据表示准周期运动的方向。 该方法还包括基于参考数据导出多个运动信号中的每一个的极性，以产生多个符号校正运动信号。 该方法还包括基于多个符号校正的运动信号中的至少一个确定与床位置对应的选通信号。

    SYSTEM AND METHOD FOR DATA DRIVEN GATING OF MULTIPLE BED POSITIONS
    4.
    发明申请
    SYSTEM AND METHOD FOR DATA DRIVEN GATING OF MULTIPLE BED POSITIONS 有权
    用于数据驱动多个位位置的系统和方法

    公开(公告)号：US20160247274A1

    公开(公告)日：2016-08-25

    申请号：US14626976

    申请日：2015-02-20

    Applicant: General Electric Company ,  King's College London

    Inventor： Sheshadri Thiruvenkadam ,  Krishna Seetharam Shriram ,  Ravindra Mohan Manjeshwar ,  Srikrishnan Viswanathan ,  Kris Filip Johan Jules Thielemans

    IPC: G06T7/00 ,  G06T7/20

    CPC classification number: G06T7/0012 ,  A61B6/037 ,  A61B6/5217 ,  A61B6/5241 ,  A61B6/5264 ,  A61B6/5288 ,  G06T7/20 ,  G06T7/262 ,  G06T2207/10104 ,  G06T2207/30004

    Abstract: A method implemented using at least one processor includes receiving time-varying image dataset generated by a medical imaging modality. The image dataset corresponds to a bed position and is affected by quasi-periodic motion data. The method also includes applying a signal decomposition technique to the time-varying image dataset to generate a plurality of dataset components and a plurality of motion signals. The method also includes determining reference data based on the time-varying image dataset, wherein the reference data is representative of a direction of the quasi-periodic motion. The method further includes deriving polarity of each of the plurality of motion signals based on the reference data to generate a plurality of sign corrected motion signals. The method also includes determining a gating signal corresponding to the bed position based on at least one of the plurality of sign corrected motion signals.

    Abstract translation: 使用至少一个处理器实现的方法包括接收由医学成像模式产生的时变图像数据集。 图像数据集对应于床位置并受准周期运动数据的影响。 该方法还包括将信号分解技术应用于时变图像数据集以产生多个数据集分量和多个运动信号。 该方法还包括基于时变图像数据集确定参考数据，其中参考数据代表准周期运动的方向。 该方法还包括基于参考数据导出多个运动信号中的每一个的极性，以产生多个符号校正运动信号。 该方法还包括基于多个符号校正的运动信号中的至少一个确定与床位置对应的选通信号。

    System and method of data analysis for detecting gross head motion from pet images
    5.
    发明授权
    System and method of data analysis for detecting gross head motion from pet images 有权

    公开(公告)号：US10282836B2

    公开(公告)日：2019-05-07

    申请号：US15235523

    申请日：2016-08-12

    Applicant: GENERAL ELECTRIC COMPANY

    Inventor： Hariharan Ravishankar ,  Ravindra Mohan Manjeshwar ,  Floribertus PM Heukensfeldt Jansen ,  Michel Souheil Tohme

    IPC: G06T7/00 ,  G06K9/62 ,  G06T7/20 ,  G06T11/00

    Abstract: According to one embodiment, a method of image analysis is provided. The method includes binning image data into a plurality of sinogram frames, identifying a plurality of initial stationary frames by applying a first analysis technique on the plurality of binned sinogram frames, extracting a plurality of first statistical parameters applying a second analysis technique on the plurality of binned sinogram frames, combining the plurality of first statistical parameters with boundaries of plurality of initial stationary frames to generate a presentation of a joint analysis combining at least some of the plurality of the first statistical parameters and at least some of the plurality of the second statistical parameter, identifying a plurality of final stationary frames from the presentation of the joint analysis, independently reconstructing each of the plurality of final stationary frames, and registering each of the plurality of final stationary frames to a first state.

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