AUTOMATIC IMAGE REGISTRATION OF SCANS FOR IMAGE-GUIDED SURGERY

    公开(公告)号:US20200286222A1

    公开(公告)日:2020-09-10

    申请号:US16305323

    申请日:2016-08-05

    Applicant: Brainlab AG

    Abstract: Provided is a method for determining a position of an imaged anatomical body part of a patient. The method includes acquiring patient image data describing a digital image of at least part of a reference device and the anatomical body part, acquiring reference device model data describing a model of at least one of at least one internal surface or at least one external surface of the reference device, determining, —based on the patient image data and the reference device model data, reference device image position data describing a relative position between the reference device and the anatomical body part, acquiring reference device tracking data describing a position of the reference device in the tracking reference system, and determining, based on the reference device image position data and the reference device tracking data, body part tracking data describing a position of the anatomical body part in the tracking reference system.

    METHOD OF CALIBRATING A MEDICAL INSTRUMENT

    公开(公告)号:US20210236208A1

    公开(公告)日:2021-08-05

    申请号:US17049634

    申请日:2020-03-16

    Applicant: Brainlab AG

    Abstract: A computer implemented medical method of calibrating a medical instrument is provided. The method calculates a position of the instrument tip model within the indentation model, associated with an estimated position of the instrument tip within the indentation and calibrates the medical instrument, thereby using the determined position of the instrument tip model. The position of any arbitrary medical instrument tip, such as an indentation of a calibration device, can be estimated. This is an improvement of accuracy in view of the generic approach of using the same reference point of the indentation of the calibration device for any arbitrary medical instrument tip. A virtual model of a shape of a medical instrument, such as the instrument tip, is matched onto a virtual model of a shape of a calibration device, such as an indentation of the calibration device.

    TRAINING A MACHINE LEARNING ALGORITHM USING DIGITALLY RECONSTRUCTED RADIOGRAPHS

    公开(公告)号:US20210383565A1

    公开(公告)日:2021-12-09

    申请号:US17274580

    申请日:2019-09-20

    Applicant: Brainlab AG

    Abstract: Disclosed is a computer-implemented method of training a likelihood-based computational model for determining the position of an image representation of an annotated anatomical structure in a two-dimensional x-ray image, wherein the method encompasses inputting medical DRRs together with annotation to a machine learning algorithm to train the algorithm, i.e. to generate adapted leamable parameters of the machine learning model. The annotations may be derived from metadata associated with the DRRs or may be included in atlas data which is matched with the DRRs to establish a relation between the annotations included in the atlas data and the DRRs. The thus generated machine learning algorithm may then be used to analyse clinical or synthesized DRRs so as to appropriately add annotations to those DRRs and/or identify the position of an anatomical structure in those DRRs.

    IMPLANT PLACEMENT PLANNING
    4.
    发明申请

    公开(公告)号:US20210177517A1

    公开(公告)日:2021-06-17

    申请号:US16090533

    申请日:2017-07-14

    Applicant: Brainlab AG

    Abstract: The present invention relates to a computer-implemented medical data processing method, a corresponding computer program and a corresponding system for planning an implant placement into an anatomical structure of a patient, which allows a user to modify the implant placement within a frame defined by predefined requirements that have to be fulfilled for achieving a desired medical outcome.

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