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公开(公告)号：US20250017667A1
公开(公告)日：2025-01-16
申请号：US18903165
申请日：2024-10-01
Applicant: Brainlab AG
Inventor： Bálint VÁRKUTI , Rebecca Rittstieg
Abstract: A computer-implemented method of determining a consensus plane usable for imaging an anatomical body part with a medical imaging device. The method involves acquiring patient image data that describes an anatomical body part; acquiring planned trajectory data; determining initial imaging plane data of the medical imaging device based on the planned trajectory data; acquiring imaging device constraint data; and acquiring orientation condition data that describes a predetermined condition to be met. The method further includes determining consensus plane data based on the imaging device constraint data and the initial imaging plane data and the orientation condition data; and acquiring avoidance region position data that describes a position of an avoidance region which shall at least substantially not be intersected by imaging radiation during the imaging. The determining consensus plane data is further based on the avoidance region position data.
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公开(公告)号：US20250001207A9
公开(公告)日：2025-01-02
申请号：US17912164
申请日：2021-09-17
Applicant: Brainlab AG
Inventor： Cornelis KAMERLING , Merle SCHLOTTMANN , Svenja LÜNGEN
Abstract: Provided is a computer-implemented medical method of irradiation treatment planning that includes an algorithm, which calculates irradiation treatment plans and at the same time considers the combination of the deliverability of the calculated RT plans, the relevancy of the calculated RT plans, and a reasonably distinctiveness between said calculated plans regarding their respective 3D dose distribution. The method automatically calculates and automatically pre-selects some of the calculated plans in steps S1 to S4, which can then be provided to the user. Moreover, in step S5 the method provides a beneficial way of automatically grouping together plans, such as by sorting the calculated and pre-selected plans. By visualizing these automatically calculated, pre-selected and grouped plans in a particular way to the user, the final plan selection by the user is facilitated in a fast, reliable and medically safe manner.
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公开(公告)号：US20250000583A1
公开(公告)日：2025-01-02
申请号：US18276824
申请日：2022-02-17
Applicant: Brainlab AG
Inventor： Yannic MEURER , Andreas BLUMHOFER
Abstract: Disclosed is a computer-implemented method of planning a straight trajectory in a medical image of an anatomical structure. A template of the straight trajectory is given in an atlas and the atlas is registered with the medical image. The atlas is divided into a first area and one or more second areas, wherein the first area comprises the straight trajectory and the one or more second areas do not comprise any part of the straight trajectory. When the transformation of the atlas onto the medical image is calculated, the first and second areas are treated differently. The transformation of the first area maintains the straight shape of the trajectory and is thus restricted. The transformation of the one or more second areas is unrestricted and thus allows any kind of image registration. The template of the transformed atlas is the applied to the medical image.
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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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5.发明公开公开(公告)号：US20240362811A1
公开(公告)日：2024-10-31
申请号：US18764814
申请日：2024-07-05
Applicant: Brainlab AG
Inventor： Christian Schmaler
CPC classification number: G06T7/60 , A61B46/20 , A61B2046/205 , G06T2207/30004
Abstract: Disclosed is an incision foil made of a sterile, thin adhesive plastic film with a defined pattern printed on it (e.g. a fine grid pattern) which can be stuck e.g. on a patient's skin surface and which marks the anatomical region of interest. Using a camera, images are acquired of the attached film and the deformation of the pattern is digitized. With a computer vision algorithm the surface of the patient, which corresponds to the surface of the film, is reconstructed from the detected pattern features in the images in comparison to the known original undeformed pattern. Disclosed is also a method for determining a geometry of the surface of the patient using the incision foil.
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Patent Agency Ranking
公开(公告)号：US12118648B2
公开(公告)日：2024-10-15
申请号：US18309968
申请日：2023-05-01
Applicant: Brainlab AG
Inventor： Kajetan Berlinger , Birte Domnik , Elisa Garcia Corisco , Pascal Bertram
CPC classification number: G06T11/003 , A61B6/032 , A61B6/12 , A61B6/486 , A61B6/5223 , A61B6/5288 , A61N5/1037 , A61N5/1049 , G06T7/0012 , G06T7/20 , G06T11/008 , G16H50/50 , A61N2005/1062 , G06T2207/10076 , G06T2207/10081 , G06T2207/10124 , G06T2207/30241 , G06T2211/412
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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公开(公告)号：US12112845B2
公开(公告)日：2024-10-08
申请号：US17281644
申请日：2018-11-07
Applicant: Brainlab AG
Inventor： Kajetan Berlinger , Andreas Blumhofer
CPC classification number: G16H30/40 , G06T7/0016 , G06T2207/10076 , G06T2207/10081
Abstract: A compartmentalized dynamic anatomic atlas is disclosed, comprising static atlas data comprising spatial element data and element representation data, wherein the spatial element data describes spatial properties of a spatial atlas element and wherein the element representation data describes representational properties assignable to the spatial atlas element, the atlas further comprising dynamic atlas data comprising information on a dynamic property which information is respectively linked to the spatial atlas element.
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公开(公告)号：US12112437B2
公开(公告)日：2024-10-08
申请号：US17793225
申请日：2021-01-28
Applicant: Brainlab AG
Inventor： Christian Schmaler , Juliane Weinzierl , Oliver Fleig
CPC classification number: G06T19/006 , G06T11/008 , G06V10/24
Abstract: The present invention relates to a computer-implemented medical method, a computer program and a system for determining a reconstructed image augmentation of a field of view provided by an augmented reality device (3), wherein an image location and/or at least one image orientation of at least one two-dimensional reconstructed image (9, 10 10) within the field view depends on the spatial position of at least one object (8, 11, 12).
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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：US12011290B2
公开(公告)日：2024-06-18
申请号：US16336001
申请日：2017-11-08
Applicant: Brainlab AG
Inventor： Bálint Varkuti
IPC: A61B5/00 , A61B5/053 , A61B5/0536 , A61B5/055 , G01R33/48
CPC classification number: A61B5/4893 , A61B5/0042 , A61B5/0536 , A61B5/055 , G01R33/4806
Abstract: A medical data processing method is provided and includes: acquiring medical image data describing a digital image of an anatomical body part containing at least one nerve fibre extending between an internal part of the anatomical body part and a substantially exterior part of the anatomical body part; and acquiring atlas data describing an image-based model of the anatomical body part. The method determines, based on the medical image data and the atlas data, exterior part data describing an association between the exterior part and the nerve fibre. The method further acquires a predetermined applied stimulation signal applied to, based on the exterior part data, the exterior part and an emitted stimulation signal emitted by the nerve fibre. Correspondence measure data describing a measure of correspondence between the applied stimulation signal and the emitted stimulation signal is then determined.
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