METHOD FOR MONITORING A SUBJECT POSITION
    252.
    发明公开

    公开(公告)号:US20240153134A1

    公开(公告)日:2024-05-09

    申请号:US18281975

    申请日:2022-12-21

    Applicant: Brainlab AG

    Abstract: The disclosed method for monitoring a subject position comprises determining a deviation of a position of a predetermined portion of a subject from a predetermined position of the predetermined portion of the subject, and, based on the deviation, determining correction data, the correction data specifying one or more corrections to be performed on the subject position as part of a position correction procedure and specifying one or more rotational corrections as being excluded from the position correction procedure. The method further comprises setting reference data as a reference for subsequent monitoring of changes of the subject position, wherein the reference data comprises the correction data and initial image data acquired prior to performing the position correction procedure and/or corrected initial image data that has been corrected based on the correction data.

    Display screen with augmented reality overlay of a graphical user interface

    公开(公告)号:USD1020781S1

    公开(公告)日:2024-04-02

    申请号:US29832657

    申请日:2022-03-29

    Applicant: Brainlab AG

    Abstract: FIG. 1 is a front view of a display screen with an augmented reality overlay of a graphical user interface showing a first embodiment of the new design; and,
    FIG. 2 is a front view of a display screen with an augmented reality overlay of a graphical user interface showing a second embodiment of the new design.
    The outer broken-line rectangle shows the perimeter of a display screen and forms no part of the claimed design. All other broken lines showing portions of the graphical user interface depict portions of the article and form no part of the claimed design.

    METHOD AND SYSTEM FOR PROJECTING AN INCISION MARKER ONTO A PATIENT

    公开(公告)号:US20240074719A1

    公开(公告)日:2024-03-07

    申请号:US18388552

    申请日:2023-11-10

    Applicant: Brainlab AG

    CPC classification number: A61B6/0492 A61B6/487 A61B2034/107

    Abstract: This document relates to technologies of projecting an incision marker onto a patient using a movable gantry carrying a medical imaging system and at least one laser which is adjustable relative to the gantry. The medical imaging system is used for capturing a fluoroscopic or x-ray image of at least a part of the patient from a viewing direction. Then a virtual marker is set in the captured image in order to indicate a point or region of interest, for example as a point or at least one line of an incision. Then the laser is used to indicate, from a projection direction different from the viewing direction, the point or region of interest onto the surface of the patient, thus making the point or region of interest visible from the outside.

    Display screen or portion thereof with graphical user interface

    公开(公告)号:USD1013702S1

    公开(公告)日:2024-02-06

    申请号:US29771987

    申请日:2021-02-26

    Applicant: Brainlab AG

    Designer: Michael Rex

    Abstract: The FIGURE is a front view of a display screen or portion thereof with graphical user interface showing the new design.
    The outermost broken lines show a display screen or portion thereof, and form no part of the claimed design. The other broken lines show portions of the graphical user interface that form no part of the claimed design.

    Correcting segmentation of medical images using a statistical analysis of historic corrections

    公开(公告)号:US11861846B2

    公开(公告)日:2024-01-02

    申请号:US17281493

    申请日:2019-12-20

    Applicant: Brainlab AG

    Abstract: Disclosed is a computer-implemented methods of determining distributions of corrections for correcting the segmentation of medical image data, determining corrections for correcting the segmentation of medical image data, training a learning algorithm for determining a segmentation of a digital medical image, and determining a relation between an image representation of the anatomical body part in an individual medical image and a label to be associated with the image representation of the anatomical body part in the individual medical image using the trained machine learning algorithm. The methods encompass reading a plurality of corrections to image segmentations, wherein the corrections themselves may have been manually generated, transforming these corrections into a reference system which is not patient-specific such as an atlas reference system, conducting a statistical analysis of the correction, and applying the re-transformed result of the statistical analysis to patient images. The result of the statistical analysis may also be used to appropriately train a machine learning algorithm for automatic segmentation of patient images. The application of such a trained machine learning algorithm is also part of this disclosure.

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