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    X-ray imaging restoration using deep learning algorithms
    1.
    发明授权
    X-ray imaging restoration using deep learning algorithms 有权

    公开(公告)号：US12182970B2

    公开(公告)日：2024-12-31

    申请号：US17356612

    申请日：2021-06-24

    Applicant: CANON MEDICAL SYSTEMS CORPORATION

    Inventor： Yi Hu ,  Rui Hua ,  Joseph Manak ,  John Baumgart ,  Yu-Bing Chang

    IPC: G06T5/70 ,  G06N3/04 ,  G06N3/082 ,  G06T5/73 ,  G16H30/20 ,  A61B6/00

    Abstract: A general workflow for deep learning based image restoration in X-ray and fluoroscopy/fluorography is disclosed. Higher quality images and lower quality images are generated as training data. This training data can further be categorized by anatomical structure. This training data can be used to train a learned model, such as a neural network or deep-learning neural network. Once trained, the learned model can be used for real-time inferencing. The inferencing can be more further improved by employing a variety of techniques, including pruning the learned model, reducing the precision of the learned mode, utilizing multiple image restoration processors, or dividing a full size image into snippets.

    IMAGING SYSTEM AND DATA ACQUISITION METHOD AND STRUCTURE THEREOF
    3.
    发明申请
    IMAGING SYSTEM AND DATA ACQUISITION METHOD AND STRUCTURE THEREOF 有权

    公开(公告)号：US20230111828A1

    公开(公告)日：2023-04-13

    申请号：US17499720

    申请日：2021-10-12

    Applicant: CANON MEDICAL SYSTEMS CORPORATION

    Inventor： James Lawrence BEGELMAN ,  Kevin ZIMMERMAN ,  Thomas LABNO ,  John Baumgart

    IPC: G01N23/046 ,  A61B6/03 ,  A61B6/00

    Abstract: A computer-tomography (CT) imaging system, comprising an imaging data acquisition system. The imaging data acquisition system includes a plurality of sets of a detector section, a storage section, and an aggregation section. The detector section includes a plurality of detector elements each being configured to convert radiation into electric signals. The aggregation section is configured to aggregate imaging data carried by the electronic signals from the detector section. The storage section is connected with an output of the detector section and an input of the aggregation section. The storage section comprises a predetermined number of non-volatile memories to store the imaging data from the corresponding detector elements.

    Method and system for automatic deployment of image restoration parameters
    5.
    发明授权
    Method and system for automatic deployment of image restoration parameters 有权

    公开(公告)号：US12178629B2

    公开(公告)日：2024-12-31

    申请号：US17341622

    申请日：2021-06-08

    Applicant: CANON MEDICAL SYSTEMS CORPORATION

    Inventor： John Baumgart ,  Yi Hu

    IPC: G06K9/00 ,  A61B6/00 ,  G06T7/00

    Abstract: A method includes obtaining, at a local imaging system, projection data for an object representing an intensity of radiation detected along a plurality of rays through the object using a first set of imaging parameters; transmitting an image quality dataset related to the obtained projection data to a remote server; generating, via the remote server, localized restoration information based on the received image quality dataset; transferring the localized restoration information from the remote server to the local imaging system; and updating the local imaging system using the localized restoration information.

    TASK ALLOCATION FOR USE IN MEDICAL IMAGING AND DIAGNOSTICS
    7.
    发明申请
    TASK ALLOCATION FOR USE IN MEDICAL IMAGING AND DIAGNOSTICS 有权

    公开(公告)号：US20230092780A1

    公开(公告)日：2023-03-23

    申请号：US17483267

    申请日：2021-09-23

    Applicant: Canon Medical Systems Corporation

    Inventor： James Lawrence Begelman ,  Joseph Manak ,  Victor Gorin ,  John Baumgart

    IPC: G16H30/20 ,  G16H40/20 ,  G06F16/901

    Abstract: A control method for controlling data processing acquired from medical imaging modalities by using multiple data processors connected to multiple medical imaging modalities via a network. The method includes obtaining image information for imaging to be performed with an imaging modality from the multiple imaging modalities. The method also includes obtaining load information of the multiple data processors before the imaging is completed. Allocating, based on graph information generated based on the obtained load information, at least a part of the multiple data processors to processing of data acquired in imaging based on the imaging information. The control method may conclude by performing processing of the acquired data with the allocated data processing resource.

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