PREDICTING TUBE DEGRADATION VIA FILAMENT OR EXPOSURE FINGERPRINTS USING NEURAL NETWORKS

    公开(公告)号:US20230389167A1

    公开(公告)日:2023-11-30

    申请号:US18032360

    申请日:2021-10-25

    Inventor: ANDRÉ GOOSSEN

    CPC classification number: H05G1/54 G01R31/257

    Abstract: The present invention relates to a method and system for predicting X-ray degradation, the system comprising; a generator (10) configured to generate a deployment fingerprint data set for recording cumulative radiation exposure of a currently deployed X-ray tube; a database (20) configured to provide a training data set comprising multiple tube fingerprint data sets for recording cumulative radiation exposure of previously deployed X-ray tubes correlated with failures of the previously deployed X-ray tubes; and a neural network (30) configured to be trained using the training data set and configured to predict at least one parameter of the currently deployed X-ray tube based on the training.

    MEDICAL IMAGE POST-PROCESSING
    4.
    发明公开

    公开(公告)号:US20230386644A1

    公开(公告)日:2023-11-30

    申请号:US18032361

    申请日:2021-10-19

    CPC classification number: G16H30/40 G16H50/20 G16H30/20

    Abstract: The present disclosure provides means for improved medical image post-processing. It utilizes an image data post-processing mechanism (122) comprising an encoder (122A) configured to encode input image data with input image properties and a decoder (122B) configured to decode the input image data to provide output image data with output image properties different to the input image properties. The post-processing mechanism (122) comprises a first post-processing setting applied to the encoder and/or the decoder and assigned to first output image properties. Further, the post-processing mechanism (122) is configured to predict a second post-processing setting applicable to the encoder and/or the decoder and assigned to second output image properties. The post-processing mechanism (122) is further configured to provide an image proposal comprising the input image data post-processed with the predicted second post-processing setting. Furthermore, the post-processing mechanism (122) is configured to receive a feedback signal assigned to the image proposal, and to evaluate the predicted second post-processing setting based on the received feedback signal.

    METHOD FOR ASSESSING A POSITION OF A PATIENT TO AN AUTOMATIC EXPOSURE CONTROL CHAMBER

    公开(公告)号:US20220386983A1

    公开(公告)日:2022-12-08

    申请号:US17770175

    申请日:2020-10-16

    Abstract: Method for assessing a position of a patient with respect to an automatic exposure control chamber, AEC chamber (11, 12), for a medical exam, wherein a patient is positioned between an X-ray source and the AEC chamber (11, 12); comprising the steps:—acquiring (S10) an X-ray image (32) of at least part of the patient, wherein the AEC chamber is configured for detecting a radiation dose of the X-ray source;—determining (S20), by the control unit, a position of the AEC chamber (11, 12) with respect to the patient from the acquired X-ray image (32);—determining (S30), by the control unit, an exam protocol performed on the patient dependent on the medical exam to be performed on the patient and determining, by the control unit, an ideal position of the AEC chamber (11, 12) with respect to the patient dependent on the exam protocol, wherein the ideal position relates to a position of the patient relative to the AEC chamber (11, 12), in which the detected radiation dose is reliable for the medical exam; and—determining (S40), by the control unit, a position deviation of the position of the AEC chamber from the ideal position of the AEC chambers; characterized in that determining, by the control unit, the position deviation comprises the steps:—segmenting at least an anatomical structure (21, 22) of the patient in the X-ray image (32) thereby determining at least one segmented anatomical structure (21, 22); and—determining the position deviation dependent on the at least one segmented anatomical structure (21, 22);—determining an overlap of the at least one segmented anatomical structure (21, 22) with the AEC chamber (11, 12); and—determining the position deviation dependent on the determined overlap.

    MULTI-SPECTRAL X-RAY IMAGING USING CONVENTIONAL EQUIPMENT

    公开(公告)号:US20220273252A1

    公开(公告)日:2022-09-01

    申请号:US17637954

    申请日:2020-08-21

    Abstract: An X-ray imaging apparatus (XI) including an X-ray source (XS) with a cathode (C) and an anode (A). The source (XS) is to generate an X-radiation beam (XB). An X-ray detector (XD) detects the X-radiation after interaction with an imaged object (OB). The beam (XB) has different spectra on its anode side (AS) and cathode side (CS) caused by the heel effect when the X-ray source (XS) is in operation. -ray imaging apparatus (XI) has a heel-effect-harnessing (HH) mechanism configured to cause a pixel (PX) of the detector (XD) to be alternately exposed to both, the anode side (AS) and the cathode side (CS) of the beam (XB).

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