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公开(公告)号：US20240386603A1
公开(公告)日：2024-11-21
申请号：US18786398
申请日：2024-07-26
Applicant: Brainlab AG
Inventor： Kim Le , Yannic Meurer , Thomas Drexl , Thomas Feilkas
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 learnable 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.
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公开(公告)号：US12076093B2
公开(公告)日：2024-09-03
申请号：US17599156
申请日：2020-09-30
Applicant: Brainlab AG
Inventor： Thomas Drexl , Dimitrij Surmeli , Amar Husejic
CPC classification number: A61B34/20 , A61B34/10 , A61F2/4657 , A61B2034/102 , A61B2034/2055 , A61B2034/2068 , A61F2/447 , A61F2002/4658 , A61F2002/4663
Abstract: A computer implemented medical method of calibrating a cage is presented. In particular, this calibration method calculates a virtual model of the cage based on a cage tip point and a cage end point, acquired by using a pointer tip of a pointing device, and at least one axis, acquired by using a pointer shaft of the pointing device along a side of the cage. This method allows for providing a more detailed virtual model of the cage, while being in compliance with sterility restrictions.
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公开(公告)号：US12096992B2
公开(公告)日：2024-09-24
申请号：US17049634
申请日：2020-03-16
Applicant: Brainlab AG
Inventor： Thomas Drexl , Melanie Wegner
CPC classification number: A61B34/20 , A61B2017/00725 , A61B2034/102 , A61B2034/2055 , A61B2034/2068 , A61B2090/3945
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.
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公开(公告)号：US20230346573A1
公开(公告)日：2023-11-02
申请号：US18029366
申请日：2021-09-29
Applicant: Brainlab AG
Inventor： Thomas Drexl , Dimitrij Surmeli , Amar Husejic
CPC classification number: A61F2/4657 , A61B34/10 , A61B2034/102 , A61F2/447
Abstract: A computer implemented medical method of calibrating a cage is presented. In particular, this calibration method calculates a virtual model of the cage based on a cage tip point and a cage end point, acquired by using a pointer tip of a pointing device, and at least one axis, acquired by using a pointer shaft of the pointing device along a side of the cage. This method allows for providing a more detailed virtual model of the cage, while being in compliance with sterility restrictions.
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公开(公告)号：US11210780B2
公开(公告)日：2021-12-28
申请号：US16305323
申请日：2016-08-05
Applicant: Brainlab AG
Inventor： Robert Essenreiter , Ralf Schwitzko , Michael Bertram , Thomas Drexl , Martin Haimerl
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.
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Patent Agency Ranking
公开(公告)号：US11202675B2
公开(公告)日：2021-12-21
申请号：US16090533
申请日：2017-06-14
Applicant: Brainlab AG
Inventor： Joerg Uhde , Thomas Drexl , Martin Koestler
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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公开(公告)号：US20200100841A1
公开(公告)日：2020-04-02
申请号：US15781982
申请日：2017-04-19
Applicant: Brainlab AG
Inventor： Thomas Feilkas , Thomas Drexl , Sabrina Sainer , Jorge Acosta , Martin Lohmann
IPC: A61B34/10
Abstract: The present invention relates to a computer-implemented medical data processing method for determining a 2D-view within an acquired 3D-image-dataset of a patient, wherein the method comprises executing, on a processor of a computer, the following steps: a) a representation of at least one anatomical structure (2) of interest is identified in the 3D-image-dataset and registered with the at least one anatomical structure (2); b) the spatial position of the at least one anatomical structure (2) and the spatial position of a predetermined section of a medical instrument (1) are determined in real space; c) the 2D-view is determined within the 3D-image-dataset, wherein the view-plane of the 2D-view is defined on the basis of the spatial position of the medical instrument (1), and wherein the view-center (B) of the 2D-view is defined on the basis of the relative spatial position of a predetermined section of the medical instrument (1) and the at least one anatomical structure (2); d) the relative position of the defined view-center with respect to a predetermined section of the medical instrument (1) is maintained in the 2D-view. The present invention further relates to a corresponding computer program, a corresponding program storage medium and a corresponding system for performing such method.
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公开(公告)号：US12080021B2
公开(公告)日：2024-09-03
申请号：US17274580
申请日：2019-09-20
Applicant: Brainlab AG
Inventor： Kim Le , Yannic Meurer , Thomas Drexl , Thomas Feilkas
CPC classification number: G06T7/73 , G06N3/04 , G06N3/08 , G06T7/0012 , G16H30/20 , G16H30/40 , G16H50/20 , G06T2207/10121 , G06T2207/20081 , G06T2207/20084 , G06T2207/30004
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.
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公开(公告)号：US20220304753A1
公开(公告)日：2022-09-29
申请号：US17599156
申请日：2020-09-30
Applicant: Brainlab AG
Inventor： Thomas Drexl , Dimitrij Surmeli , Amar Husejic
Abstract: A computer implemented medical method of calibrating a cage is presented. In particular, this calibration method calculates a virtual model of the cage based on a cage tip point and a cage end point, acquired by using a pointer tip of a pointing device, and at least one axis, acquired by using a pointer shaft of the pointing device along a side of the cage. This method allows for providing a more detailed virtual model of the cage, while being in compliance with sterility restrictions.
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公开(公告)号：USD893532S1
公开(公告)日：2020-08-18
申请号：US29673021
申请日：2018-12-11
Applicant: Brainlab AG
Designer： Thomas Drexl , Sabrina Sainer , Annika Mueller , Araceli Alcala
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