INHALATION METRIC FOR CHEST X-RAY IMAGES
    1.
    发明公开

    公开(公告)号:US20240046452A1

    公开(公告)日:2024-02-08

    申请号:US17641122

    申请日:2020-09-01

    Abstract: In order to enhance enhanced X-ray image inhalation quality monitoring, a metric is proposed hat reproducibly provides an index of ribs visible to be used in the assessment of the inhalation state. In an example, a detected diaphragm in a chest X-ray image may be projected into an atlas that contains labels for all intercostal spaces, namely spaces between rib centerlines. A spatial representation of both the clavicle and the ribs is provided in the atlas, a cumulative histogram is built for all points, i.e. pixels, of the diaphragm, for every point a rib label counter of the rib in the rib label map at that point is incremented as well as all ribs above it, the rib label counter is normalized by a division by the number of points, the median (or a different quantile) may be taken of this distribution serving as an inhalation index. An objective metric of inhalation state is thus achieved.

    X-RAY IMAGE INHALATION QUALITY MONITORING
    2.
    发明申请

    公开(公告)号:US20180325481A1

    公开(公告)日:2018-11-15

    申请号:US15774414

    申请日:2016-11-02

    Abstract: The quality of thoracic X-rays is depends on the inspiration state of an imaged patient. If the lungs of a patient are not significantly inflated during a thoracic X-ray, tissue from surrounding organs can cause the image to become cloudier, and the lung parenchyma is not effectively shown. Thus, there is a reliance on a medical professional to ensure that the patient is in an appropriate posture and inspiration state at the point of image exposure. This can be difficult with patients suffering from chronic conditions, though. Therefore, this application discusses a means to assess the inspiration state using the position of rib bones, and the diaphragm line in the X-ray image. Thus, an accurate estimate of inspiration state can automatically be reported to a medical professional, before a patient leaves the examination room, allowing an X-ray to be retaken, if necessary.

    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.

    X-RAY IMAGE PROCESSING SYSTEM, X-RAY IMAGING SYSTEM AND METHOD FOR PROCESSING AN X-RAY IMAGE

    公开(公告)号:US20250072853A1

    公开(公告)日:2025-03-06

    申请号:US18719882

    申请日:2022-12-06

    Abstract: The invention relates to an X-ray image processing system (4) comprising an X-ray image input interface (8), a computing unit (9) and an X-ray image output interface (11). The X-ray image input interface (8) is configured to receive original X-ray images taken by an X-ray imaging system (1) comprising an X-ray source (2) and an X-ray detector (3). The computing unit (9) is connected to the X-ray image input interface (8) and is configured to obtain at least one original X-ray image from the X-ray image input interface (8), obtain information relating to the relative detector pose of the X-ray detector (3) relative to the X-ray source (2) and obtain a point of interest (P) in the original X-ray image, wherein the point of interest (P) is an anatomical structure or a part within an anatomical structure. The computing unit (9) is further configured to apply a perspective transformation to the original X-ray image to obtain a transformed X-ray image, wherein the transformed X-ray image corresponds to a perspective where the X-ray detector (3) is perpendicular to an X-ray beam (6) from the X-ray source (2) to the point of interest (P). Finally, the X-ray image output interface (11) is configured to transmit the transformed X-ray image.

    CONSTRAINED TRAINING OF ARTIFICIAL NEURAL NETWORKS USING LABELLED MEDICAL DATA OF MIXED QUALITY

    公开(公告)号:US20220392198A1

    公开(公告)日:2022-12-08

    申请号:US17776083

    申请日:2020-11-09

    Abstract: The invention relates to a method (100) for supervised training of an artificial neural network for medical image analysis. The method comprises acquiring (SI) first and second sets of training samples, wherein the training samples comprise feature vectors and associated predetermined labels, the feature vectors being indicative of medical images and the labels pertaining to anatomy detection, to semantic segmentation of medical images, to classification of medical images, to computer-aided diagnosis, to detection and/or localization of biomarkers or to quality assessment of medical images. The accuracy of predetermined labels may be better for the second set of training samples than for the first set of training samples. The neural network is trained (S3) by reducing a cost function, which comprises a first and a second part. The first part of the cost function depends on the first set of training samples, and the second part of the cost function depends on a first subset of training samples, the first subset being a subset of the second set of training samples. In addition, the second part of the cost function depends on an upper bound for the average prediction performance of the neural network for the first subset of training samples and the second part of the cost function is configured for preventing that the average prediction performance for the first subset of training samples exceeds the upper bound.

    WORKLOAD REDUCER FOR QUALITY AUDITORS IN RADIOLOGY

    公开(公告)号:US20220375081A1

    公开(公告)日:2022-11-24

    申请号:US17770759

    申请日:2020-10-27

    Abstract: An apparatus (10) for manually auditing a set (30) of images having quality ratings (38) for an image quality metric assigned to the respective images of the set of images by an automatic quality assessment process (40) includes at least one electronic processor (20) programmed to: generate quality rating confidence values (42) indicative of confidence of the quality ratings for the respective images; select a subset (32) of the set of images for manual review based at least on the quality rating confidence values; and provide a user interface (UI) (27) via which only the subset of the set of images is presented and via which manual quality ratings (46) for the image quality metric are received for only the subset of the set of images.

    ASSISTING SUBJECT AND/OR IMPLANT POSITIONING IN MEDICAL IMAGING

    公开(公告)号:US20250025238A1

    公开(公告)日:2025-01-23

    申请号:US18710687

    申请日:2022-11-24

    Abstract: The present invention relates to prospective analysis of subject and/or implant positioning. Provided is a computer-im-plemented method for assisting positioning of a subject having an orthopedic implant in X-ray imaging. The method comprises applying one or more radiofrequency, RF, signals to an anatomy of interest of the subject where the orthopedic implant is located. The method further comprises detecting a response signal and/or signal change in response to the applied RF signal impacting the orthopedic implant and tissue being adjacent to and/or surrounding the implant, and determining, from the detected response signal and/or signal change, an implant positioning estimation relative to an X-ray imaging device. Further, the method comprises determining, from the implant positioning estimation, a feedback being indicative for positioning the X-ray imaging device and the subject to each other with respect to a target positioning, to be provided for assisting the positioning.

    VISUALIZING COLLIMATION ERRORS
    9.
    发明申请

    公开(公告)号:US20210401391A1

    公开(公告)日:2021-12-30

    申请号:US16468994

    申请日:2017-12-14

    Abstract: The field of view of an X-ray imaging system should be set appropriately to ensure that anatomical information of interest is not omitted. In particular, it is necessary to ensure that the operator of an X-ray system does not allow a patient to leave the X-ray imaging system until it is certain that the correct anatomy has been imaged. This application discusses a technique enable the visualization of a field of view boundary error caused by the incorrect configuration of an X-ray imaging system. Optionally, the boundary error is displayed either on a user display of a system console, or by projecting the field of view error onto the patient in the X-ray system. Thus, an operator of the system may be alerted to the presence of a boundary error, enabling a new X-ray exposure to be taken, if necessary.

    X-RAY SYSTEM FOR GUIDED OPERATION
    10.
    发明申请

    公开(公告)号:US20200060635A1

    公开(公告)日:2020-02-27

    申请号:US16609761

    申请日:2018-04-26

    Abstract: The present invention relates to an X-ray device, an X-ray system and a method of operation thereof. An operator and a patient are identified by an ID-system comprising one or more ID-means. The operator expertise level is determined. Image acquisition for generating an X-ray image is performed by using an interface for adaptive interaction of the operator and X-ray device. The interface is adapted for outputting at least one option selector. At least one subsequent option selector is adapted according to the operator expertise level and/or object data.

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