中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

15 records (took 0.027 seconds)

    TOMOGRAPHIC RECONSTRUCTION BASED ON DEEP LEARNING
    1.
    发明申请
    TOMOGRAPHIC RECONSTRUCTION BASED ON DEEP LEARNING 审中-公开

    公开(公告)号：WO2018187020A1

    公开(公告)日：2018-10-11

    申请号：PCT/US2018/023074

    申请日：2018-03-19

    Applicant: GENERAL ELECTRIC COMPANY

    Inventor： FU, Lin ,  RAMANI, Sathish ,  DE MAN, Bruno Kristiaan Bernard ,  RUI, Xue ,  AHN, Sangtae

    IPC: G06T11/00

    Abstract: The present approach relates to the use of machine learning and deep learning systems suitable for solving large-scale, space-variant tomographic reconstruction and/or correction problems. In certain embodiments, a tomographic transform of measured data obtained from a tomography scanner is used as an input to a neural network. In accordance with certain aspects of the present approach, the tomographic transform operation(s) is performed separate from or outside the neural network such that the result of the tomographic transform operation is instead provided as an input to the neural network. In addition, in certain embodiments, one or more layers of the neural network may be provided as wavelet filter banks.

    IMAGING METHOD AND SYSTEM OF TUBE VOLTAGE AND CURRENT OPTIMIZATION
    7.
    发明申请
    IMAGING METHOD AND SYSTEM OF TUBE VOLTAGE AND CURRENT OPTIMIZATION 审中-公开
    管电压成像方法与系统优化

    公开(公告)号：WO2016133986A1

    公开(公告)日：2016-08-25

    申请号：PCT/US2016/018214

    申请日：2016-02-17

    Applicant: GENERAL ELECTRIC COMPANY

    Inventor： JIN, Yannan ,  DE MAN, Bruno, Kristiaan, Bernard ,  EDIC, Peter, Michael ,  FITZGERALD, Paul, Francis ,  RUI, Xue ,  YANGYANG, Yao ,  YIN, Zhye ,  WEIDMANN, Uwe

    IPC: A61B6/03 ,  A61B6/00

    CPC classification number: A61B6/405 ,  A61B6/032 ,  A61B6/4233 ,  A61B6/488 ,  A61B6/5205 ,  A61B6/542

    Abstract: An imaging method includes executing a low-dose preparatory scan to an object by applying tube voltages and tube currents in an x-ray source, and generating a first image of the object corresponding to the low-dose preparatory scan. The method further includes generating image quality estimates and dose estimates view by view at least based on the first image. The method includes optimizing the tube voltages and the tube currents to generate optimal profiles for the tube voltage and the tube current. At least one of the optimal profiles for the tube voltage and the tube current is generated based on the image quality estimates and dose estimates. The method includes executing an acquisition scan by applying the tube voltages and the tube currents based on the optimal profiles and generating a second image of the object corresponding to the acquisition scan. An imaging system is also provided.

    Abstract translation: 成像方法包括通过在x射线源中施加管电压和管电流来对对象执行低剂量预备扫描，以及生成对应于低剂量预备扫描的对象的第一图像。 该方法还包括至少基于第一图像通过视图生成图像质量估计和剂量估计视图。 该方法包括优化管电压和管电流以产生管电压和管电流的最佳轮廓。 基于图像质量估计和剂量估计，产生管电压和管电流的最佳曲线中的至少一个。 该方法包括通过基于最佳轮廓施加管电压和管电流来执行采集扫描，并且生成对应于采集扫描的对象的第二图像。 还提供了一种成像系统。

    SYSTEM AND METHOD FOR STATISTICAL ITERATIVE RECONSTRUCTION AND MATERIAL DECOMPOSITION
    10.
    发明公开
    SYSTEM AND METHOD FOR STATISTICAL ITERATIVE RECONSTRUCTION AND MATERIAL DECOMPOSITION 审中-公开

    公开(公告)号：EP3671648A1

    公开(公告)日：2020-06-24

    申请号：EP19216339.2

    申请日：2019-12-13

    Applicant: General Electric Company

    Inventor： YANOFF, Brian David ,  WU, Mingye ,  FU, Lin ,  EDIC, Peter Michael ,  RUI, Xue ,  FU, Geng ,  JIN, Yannan ,  GRONBERG, Fredrik

    IPC: G06T11/00

    Abstract: A method for imaging an object to be reconstructed includes acquiring projection data corresponding to the object. Furthermore, the method includes generating a measured sinogram based on the acquired projection data and formulating a forward model, where the forward model is representative of a characteristic of the imaging system. In addition, the method includes generating an estimated sinogram based on an estimated image of the object and the forward model and formulating a statistical model based on at least one of pile-up characteristics and dead time characteristics of a detector of the imaging system. Moreover, the method includes determining an update corresponding to the estimated image based on the statistical model, the measured sinogram, and the estimated sinogram and updating the estimated image based on the determined update to generate an updated image of the object. Additionally, the method includes outputting a final image of the object.

Patent Agency Ranking