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公开(公告)号：US20230087494A1
公开(公告)日：2023-03-23
申请号：US17801464
申请日：2021-03-26
Applicant: Brainlab AG
Inventor： Stefan Vilsmeier , Jens Schmaler
IPC: G06V10/74 , G06T7/33 , G06V10/774 , G16H30/20 , G16H10/60
Abstract: Disclosed are computer-implemented methods which encompass determining whether two medical images were taken of the same patient. In a first aspect, this is done by analysing a registration of the two images with one another. The registration may be a direct registration between the two images or an indirect registration, for example via an atlas to which each image is registered. In other aspects, a machine learning algorithm is trained on the basis of image registrations to determine whether the two images were taken of the same patient. The disclosed methods serve the purpose of being able to group medical images together which were taken of the same patient without having to provide or otherwise process data about the identity of the patient.
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公开(公告)号：US11589934B2
公开(公告)日：2023-02-28
申请号：US16497853
申请日：2018-09-24
Applicant: Brainlab AG
Inventor： Mohamed Ahmed Fouad Barakat , Nils Frielinghaus
Abstract: Disclosed is a computer-implemented method of determining control data for increasing the braking force exerted by a braking mechanism of a mechatronic articulable arm on at least one or all joints connecting the arm elements of the mechatronic articulable arm to a level of braking force which is higher than the level required for locking the joint or joints, respectively. The control data is determined in dependence on both the relative position between the mechatronic articulable arm and an anatomical body part of patient, and a locking state of the mechatronic articulable arm.
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公开(公告)号：US20230046321A1
公开(公告)日：2023-02-16
申请号：US17783851
申请日：2020-12-16
Applicant: Brainlab AG
Inventor： Stefan Vilsmeier , Jens Schmaler
IPC: G06V10/774 , G06V10/82 , G06V20/70 , G06T7/70 , G06V20/69 , G06V10/26 , G06V10/764
Abstract: Disclosed is a computer-implemented method which encompasses registering a tracked imaging device such as a microscope having a known viewing direction and an atlas to a patient space so that a transformation can be established between the atlas space and the reference system for defining positions in images of an anatomical structure of the patient. Labels are associated with certain constituents of the images and are input into a learning algorithm such as a machine learning algorithm, for example a convolutional neural network, together with the medical images and an anatomical vector and for example also the atlas to train the learning algorithm for automatic segmentation of patient images generated with the tracked imaging device. The trained learning algorithm then allows for efficient segmentation and/or labelling of patient images without having to register the patient images to the atlas each time, thereby saving on computational effort.
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公开(公告)号：US20230008051A1
公开(公告)日：2023-01-12
申请号：US17864914
申请日：2022-07-14
Applicant: Brainlab AG
Inventor： Stefan VILSMEIER , Kajetan BERLINGER
Abstract: The present application relates to a data processing system and method for determining the position of a soft tissue body part within a patient's body. The data processing method includes acquiring CT-image data including information about the position of the body part within a coordinate system assigned to a transportable CT-device, wherein the patient's body is positioned relative to the treatment device, and wherein the CT-device is configured to be positioned relative to the patient's body and/or relative to the treatment device, acquiring first transformation data including information about a first transformation between the coordinate system assigned to the CT-device and a coordinate system assigned to the treatment device, and determining, based on the CT-image data and the first transformation data, position data including information about the position of the body part within the coordinate system assigned to the treatment device.
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公开(公告)号：US11420076B2
公开(公告)日：2022-08-23
申请号：US15534049
申请日：2015-06-25
Applicant: Brainlab AG
Inventor： Stefan Vilsmeier , Kajetan Berlinger
Abstract: The present application relates to a data processing method for determining the position of a soft tissue body part within a patient's body. The data processing method includes acquiring CT-image data including information about the position of the body part within a coordinate system assigned to a transportable CT-device, wherein the patient's body is positioned relative to the treatment device, and wherein the CT-device is configured to be positioned relative to the patient's body and/or relative to the treatment device, acquiring first transformation data including information about a first transformation between the coordinate system assigned to the CT-device and a coordinate system assigned to the treatment device, and determining, based on the CT-image data and the first transformation data, position data including information about the position of the body part within the coordinate system assigned to the treatment device.
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Patent Agency Ranking
276.发明申请公开(公告)号：US20220249038A1
公开(公告)日：2022-08-11
申请号：US17734939
申请日：2022-05-02
Applicant: Brainlab AG
Inventor： Stefan ACHATZ , Swen WOERLEIN
Abstract: Disclosed is a computer-implemented method for determining an orientation of an electrode using acquired two-dimensional rotational images taken while the two-dimensional imaging apparatus is rotated about the patient, and acquired three dimensional tomographic images of the anatomical structure. The electrode orientation is determined in the three-dimensional reference system of the tomographic imaging apparatus.
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公开(公告)号：US20220207740A1
公开(公告)日：2022-06-30
申请号：US17039281
申请日：2019-08-04
Applicant: Brainlab AG
Inventor： Stefan VILSMEIER , Clara ORLANDO , Ron ZENVIRT
Abstract: Disclosed is a computer-implemented method of determining a correspondence between a region of interest as it appears in a first digital medical patient image and as it appears in a second digital medical image. The correspondence is determined by calculating the ratio of overlap of the region of interest with a data object defining an anatomical body part in the first image and the second image and determining whether the larger of the two ratios exceeds a threshold. If the threshold is exceeded, the method assumes that the appearances in the two images describe the same region of interest.
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公开(公告)号：US20220189080A1
公开(公告)日：2022-06-16
申请号：US17573032
申请日：2022-01-11
Applicant: Brainlab AG
Inventor： Kajetan BERLINGER , Birte DOMNIK , Elisa Garcia Corisco , Pascal BERTRAM
Abstract: A computer implemented method for determining a two dimensional DRR referred to as dynamic DRR based on a 4D-CT, the 4D-CT describing a sequence of three dimensional medical computer tomographic images of an anatomical body part of a patient, the images being referred to as sequence CTs, the 4D-CT representing the anatomical body part at different points in time, the anatomical body part comprising at least one primary anatomical element and secondary anatomical elements, the computer implemented method comprising the following steps: acquiring the 4D-CT; acquiring a planning CT, the planning CT being a three dimensional image used for planning of a treatment of the patient, the planning CT being acquired based on at least one of the sequence CTs or independently from the 4D-CT, acquiring a three dimensional image, referred to as undynamic CT, from the 4D-CT, the undynamic CT comprising at least one first image element representing the at least one primary anatomical element and second image elements representing the secondary anatomical elements; acquiring at least one trajectory, referred to as primary trajectory, based on the 4D-CT, the at least one primary trajectory describing a path of the at least one first image element as a function of time; acquiring trajectories of the second image elements, referred to as secondary trajectories, based on the 4D-CT; for the image elements of the undynamic CT, determining trajectory similarity values based on the at least one primary trajectory and the secondary trajectories, the trajectory similarity values respectively describing a measure of similarity between a respective one of the secondary trajectories and the at least one primary trajectory; determining the dynamic DRR by using the determined trajectory similarity values, and, in case the planning CT is acquired independently from the 4D-CT, further using a transformation referred to as planning transformation from the undynamic CT to the planning CT, at least a part of image values of image elements of the dynamic DRR being determined by using the trajectory similarity values.
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279.发明申请公开(公告)号：US20220172394A1
公开(公告)日：2022-06-02
申请号：US17671384
申请日：2022-02-14
Applicant: Brainlab AG
Inventor： Pablo APONTE , Jochen VEIGEL , Ivana IVANOVSKA , Hagen KAISER
Abstract: A method for determining the relative position between a first camera and a second camera used in a medical application, wherein the first camera captures a 2D image of a phantom, the second camera emits light onto the phantom and analyzes the reflected light, thus generating a 3D point cloud representing points on the surface of the phantom, and the phantom has a planar surface forming a background on which a plurality of 2D markers are formed, wherein one of the background and the 2D markers is reflective, thus reflecting light emitted by the second camera back to the second camera, and the other one is non-reflective, thus not reflecting light emitted by the second camera back to the second camera, the method involving that a) the first camera captures a 2D image of the phantom, b) the second camera generates a 3D point cloud representing the planar surface of the phantom, c) the 2D markers are identified in the 2D image, thus obtaining 2D marker data representing the locations of the 2D markers in the 2D image, d) the 2D markers are identified in the 3D point cloud using the property that points on a non-reflective part of the planar surface are identified as having a larger distance to the second camera than points on a reflective part of the planar surface, thus obtaining 3D marker data representing the locations of the 2D markers in a reference system of the second camera, and e) finding the relative position between the first camera and the second camera by applying a Perspective-n-Points algorithm on the 2D marker data and the 3D marker data.
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公开(公告)号：US20220160453A1
公开(公告)日：2022-05-26
申请号：US17665666
申请日：2022-02-07
Applicant: Brainlab AG
Inventor： Manuel WORTMANN , Andreas BEREKET
Abstract: The present invention relates to a head immobilization system for immobilizing a patient's head in a supine position of the patient, the system comprising: a support rail structure adapted to be coupled to a patient rest and extending at least on both lateral sides of the patient's head, a mask frame adapted to be coupled to at least one deformable upper mask sheet, wherein the mask frame is releasably connected to the support rail structure via a first interface section and a second interface section, with at least two pins protruding from the first interface section in a first direction, and at least two pin-receptions provided at the second interface section, wherein each one of the pin-receptions receives one of the pins, and a catch-mechanism for each pin-reception and each corresponding pin, which allows the pin to be pushed further into the pin-reception in the first direction, but which interlocks in case of an attempted withdrawal of the pin from the pin-reception in a second, opposite direction.
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