公开(公告)号：USD944842S1

公开(公告)日：2022-03-01

申请号：US29754075

申请日：2020-10-06

Applicant: Brainlab AG

Designer： Oliver Fleig ,  Jürgen Gassner ,  Sven Flossmann

公开(公告)号：US11246665B2

公开(公告)日：2022-02-15

申请号：US17254603

申请日：2018-07-23

Applicant: Brainlab AG

Inventor： Balint Varkuti

IPC: A61B8/14 ,  A61B34/10 ,  A61B34/20 ,  A61B34/00 ,  A61B34/30

Abstract: During a sEEG (stereo-electroencephalography) intervention into the skull of a patient, there is requirement to drill a large number of trajectories. Typically, instrument stabilisation platforms and robots for protocols requiring only one or two trajectories are rigidly fixed to the skull using surgical anchor members fixed into the skull around the one or two trajectories. However, because sEEG interventions require a large number of trajectories, an impractical number of surgical anchor members need to be fixed into the skull resulting in patient discomfort. Attachment of an intervention platform to all surgical anchor members is not required at once. Accordingly, it is proposed to search for intersection points of the maximum extent of an intervention platform between at least two trajectory entry points on an object of interest of patient, so that at least one surgical anchor member can be shared when the intersection point is at first and the second trajectories. Any reduction in the number of surgical anchor members inserted into a patient reduces risk and discomfort. The positioning of the shared anchor members can be optimised to enable good mechanical stability, and/or optical registration performance. Furthermore, the number of surgical anchor members required for intervention can be reduced. Because the surgical anchor members are sterilised and made from high quality metal, a cost for performing the procedure can also be reduced.

公开(公告)号：USD940178S1

公开(公告)日：2022-01-04

申请号：US29729297

申请日：2020-03-25

Applicant: Brainlab AG

Designer： Julian Ang

公开(公告)号：USD939707S1

公开(公告)日：2021-12-28

申请号：US29728736

申请日：2020-03-20

Applicant: Brainlab AG

Designer： Stefan Eckstein ,  Frank Ehnes ,  Elmar Schlereth

公开(公告)号：US20210398652A1

公开(公告)日：2021-12-23

申请号：US17279904

申请日：2019-02-14

Applicant: Brainlab AG

Inventor： Florian GLATZ ,  Sebastian STOPP

IPC: G16H30/20 ,  G16H40/63 ,  G16H10/60 ,  G16H40/40 ,  A61B6/00

Abstract: The present application relates to a computer-implemented medical method of determining a patient-specific setting of at least one imaging parameter of an imaging device. The method includes patient data being acquired, describing information relating to a patient and having impact on the setting of at least one imaging parameter of the imaging device, and imaging parameter data being determined based on the patient data, describing a patient-specific setting of the at least one imaging parameter of the imaging device.

公开(公告)号：US20210391061A1

公开(公告)日：2021-12-16

申请号：US17281644

申请日：2018-11-07

Applicant: Brainlab AG

Inventor： Kajetan Berlinger ,  Andreas Blumhofer

IPC: G16H30/40 ,  G06T7/00

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.

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

Inventor： Kim LE ,  Yannic MEURER ,  Thomas DREXL ,  Thomas FEILKAS

IPC: G06T7/73 ,  G06N3/08 ,  G06N3/04 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20 ,  G06T7/00

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.

公开(公告)号：US11195608B2

公开(公告)日：2021-12-07

申请号：US16175185

申请日：2018-10-30

Applicant: Brainlab AG

Inventor： Stefan Vilsmeier

IPC: G16H20/40 ,  A61N5/10 ,  G16H50/50 ,  A61B34/10 ,  G16H10/60 ,  G16Z99/00

Abstract: A radiotherapy feedback device is provided which provides one of a plurality of indication signals for presentation to a surgeon based on the status of a current surgical procedure. In some aspects, an indication signal is provided to the surgeon if the surgical procedure on an anatomical structure is of sufficient status so as to respond well to subsequent radiotherapy.

公开(公告)号：US20210339050A1

公开(公告)日：2021-11-04

申请号：US17255558

申请日：2019-07-08

Applicant: Brainlab AG

Inventor： Hagen KAISER ,  Michael STEAD

IPC: A61N5/10

Abstract: A method of positioning a patient for a radiation treatment and/or of monitoring a position of a patient during a radiation treatment is provided. The method includes providing surface data acquired using a 3D surface scanner of a surface of at least a body part of the patient that is to be irradiated in a radiation treatment. The surface data are calibrated with respect to a relative position of the 3D surface scanner and an isocenter position of a radiation treatment apparatus. A beam path and/or frustum of a radiation beam is determined based on planning data for the radiation treatment and intersected with at least a part of the surface of the patient represented by the surface data. Further, at least a first portion of the patient's surface located inside the beam path and/or a second portion of the patient's surface located outside the beam path is calculated.

公开(公告)号：US20210260405A1

公开(公告)日：2021-08-26

申请号：US17252052

申请日：2020-07-16

Applicant: Brainlab AG

Inventor： Cornelis KAMERLING ,  Stefan SCHELL

IPC: A61N5/10 ,  G16H20/40 ,  G16H70/20 ,  G16H40/40 ,  G16H50/70 ,  G16H50/20 ,  G16H50/30 ,  G16H10/60 ,  G16H40/63

Abstract: The present application provides an initial, or first, packed arc setup to be compared with predefined arc setup constraints. These predefined arc setup constraints at least constrain the number of patient table angles per target volume, constrain the number of times the gantry moves along one arc per table angle, constraint the sum of gantry span per metastasis over all arcs, and constrain the minimum table span. Based on the result of the comparison between the first packed arc setup with the predefined arc setup constraints a second arc setup is automatically suggested. The automatically suggested second arc setup may then be compared with the first one by calculating a score for both setups. Several iterations of such a method can be carried out based on the comparison between an arc setup and the following, subsequent arc setup in the iteration.