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.

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.

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

IPC: A61N5/10 ,  A61B6/00 ,  A61B6/03 ,  A61B34/20 ,  A61B90/00

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.

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：US10750980B2

公开(公告)日：2020-08-25

申请号：US15528043

申请日：2014-12-02

Applicant: Brainlab AG

Inventor： Hagen Kaiser ,  Stephen Froehlich ,  Stefan Vilsmeier

IPC: A61B5/11 ,  H04N13/204 ,  A61B5/00 ,  A61B5/01 ,  G06T7/33 ,  G06T7/70 ,  G06T7/00 ,  A61B5/113 ,  A61N5/10 ,  G01J5/00 ,  G03B35/02 ,  A61B5/055 ,  A61B6/03 ,  A61B6/00 ,  H04N13/00 ,  H04N13/239 ,  G01J5/10 ,  G01R33/48

Abstract: A medical image processing method performed by a computer, for measuring the spatial location of a point on the surface of a patient's body including: acquiring at least two two-dimensional image datasets, wherein each two-dimensional image dataset represents a two-dimensional image of at least a part of the surface which comprises the point, and wherein the two-dimensional images are taken from different and known viewing directions; determining the pixels in the two-dimensional image datasets which show the point on the surface of the body; and calculating the spatial location of the point from the locations of the determined pixels in the two-dimensional image datasets and the viewing directions of the two-dimensional images; wherein the two-dimensional images are thermographic images.

公开(公告)号：US20180367765A1

公开(公告)日：2018-12-20

申请号：US16110645

申请日：2018-08-23

Applicant: Brainlab AG

Inventor： Stefan Vilsmeier ,  Timo Neubauer ,  Christian Brack ,  Ingmar Hook

IPC: H04N7/18 ,  A61B34/20

Abstract: A medical tracking system comprising at least two sensor devices which are independently maneuverable and can be positioned in a fixed position relative to targets, each sensor device comprising at least one of an orientation sensor and a position sensor for respectively determining sensor data, the system further comprising a control unit configured to receive and combine the at least two sensor data of the at least two sensor devices in order to determine a relative position between at least two of the at least two sensor devices.

公开(公告)号：US10137315B2

公开(公告)日：2018-11-27

申请号：US14438487

申请日：2012-10-26

Applicant: Brainlab AG

Inventor： Stefan Vilsmeier

IPC: A61N5/10

Abstract: The invention relates to a data processing method of determining a radiotherapy treatment plan for radiotherapy treatment of a treatment body part (P) of a patient's body, the method being executed by a computer and comprising the following steps: a) acquiring treatment target position data comprising treatment target position information describing the position of a treatment target (TT1, . . . , TT3) to be treated by radiotherapy in the treatment body part (P); b) acquiring statistic model target region position data comprising statistic model target region position information describing the position of a model target region (MT11, MT13, MT21, MT23) in a model body part (M1, M2) corresponding to the treatment body part (P); c) determining, based on the treatment target data and the statistic model target region position data, irradiation region position data comprising irradiation region position information describing the position of an irradiation region (IR1, IR3) to be treated by irradiation with treatment radiation in the treatment body part (P).

公开(公告)号：US09928588B2

公开(公告)日：2018-03-27

申请号：US15311183

申请日：2014-05-15

Applicant: Brainlab AG

Inventor： Stefan Vilsmeier

IPC: G06K9/00 ,  G06T7/00 ,  G06T19/20 ,  G06T11/60 ,  A61B5/103

CPC classification number: G06T7/0012 ,  G06T11/60 ,  G06T19/20 ,  G06T2207/10004

Abstract: The present invention relates to a medical data processing method of determining an image of an anatomical structure of a patient's body, the method comprising the following steps which are constituted to be executed by a computer: a) acquiring (S1) GP atlas data describing an image-based model of at least part of a human body comprising the anatomical structure; b) acquiring (S1) patient medical image data describing a patient-specific medical image of the anatomical structure in the patient's body, wherein the patient medical image data comprises in particular three-dimensional image information c) determining (S2), based on the atlas data and the patient medical image data, atlas-patient transformation data describing a transformation between the image-based model and the anatomical structure in the patient's body; d) acquiring (S3, S4) medical indication data describing a medical indication which the anatomical structure is subject to; e) acquiring (S7) imaging parameter data describing at least one imaging parameter for generating, from the image-based model, an image of the anatomical structure in dependence on the medical indication data: f) determining (S8) indication image data describing an indication-specific image (1) of the anatomical structure in the patient, wherein the indication image data is determined (S8) based on the patient medical image data and the atlas-patient transformation data and the medical indication data and the imaging parameter data.

公开(公告)号：US20170246478A1

公开(公告)日：2017-08-31

申请号：US15505819

申请日：2015-08-27

Applicant: Brainlab AG

Inventor： Stefan Vilsmeier

IPC: A61N5/10 ,  A61B6/00 ,  A61B6/03

CPC classification number: A61N5/1037 ,  A61B5/1077 ,  A61B6/032 ,  A61B6/486 ,  A61B6/50 ,  A61B6/5264 ,  A61B6/5288 ,  A61N5/1065 ,  A61N5/1068 ,  A61N5/1077 ,  G06F19/00

Abstract: Disclosed is a medical data processing method of determining a transformation for determining a breathing state-dependent geometry of an anatomical body part of target planning image reference planning image a patient's body, the method comprising executing, on at least one processor of at least one computer, steps of: a) acquiring, at a processor, planning image data describing a set of tomographic medical planning images describing each a different part of the anatomical body part in the same respiratory state called reference planning respiratory state (y), wherein the anatomical body part is subject to respiratory movement and wherein the planning images comprise a planning image called reference planning image describing a part of the anatomical body part which is called reference planning body part; b) acquiring, at a processor, breathing image data describing a set (1) of tomographic medical breathing images of the anatomical body part, wherein the breathing images comprise a reference breathing image (A) describing the reference planning body part in a respiratory state called reference breathing respiratory state (a), which is different from the reference planning respiratory state (y), and a target breathing image (C) describing at least another part of the anatomical body part, wherein the other part of the anatomical body part is called target body part, in a respiratory state called target respiratory state (c) which is different from the reference planning respiratory state; c) determining, by a processor and based on the planning image data and the breathing image data, reference transformation data describing a transformation, called reference transformation (R), between the geometry (Factor A) of the reference planning body part in the reference planning respiratory state (y) and the geometry of the reference planning body part in the reference breathing respiratory state (a); d) acquiring, at a processor, scaling factor data describing a scaling factor (sf) which describes a relationship between the geometry (Factor A) of the reference planning body part in the reference breathing respiratory state (a) and the geometry (Factor C) of the target body part in the target respiratory state (c); e) determining, by a processor and based on the reference transformation and the scaling factor data, derived transformation data describing a transformation called derived transformation (T) between the geometry of the target body part in the reference planning respiratory state (y), and the geometry (Factor C″) of the target body part in the reference breathing respiratory state (a).

公开(公告)号：US20170239493A1

公开(公告)日：2017-08-24

申请号：US15505806

申请日：2014-08-28

Applicant: Brainlab AG

Inventor： Stefan Vilsmeier

IPC: A61N5/10 ,  A61B6/00 ,  A61B5/107 ,  A61B6/03

CPC classification number: A61N5/1037 ,  A61B5/1077 ,  A61B6/032 ,  A61B6/486 ,  A61B6/50 ,  A61B6/5264 ,  A61B6/5288 ,  A61N5/1065 ,  A61N5/1068 ,  A61N5/1077

Abstract: A medical data processing method of determining a transformation for determining a breathing state-dependent geometry of an anatomical body part of a patient's body, the method comprising: a) acquiring planning image data describing a set of tomographic medical planning images describing each a different part of the anatomical body part in the same respiratory state called reference planning respiratory state, wherein the anatomical body part is subject to respiratory movement and wherein the planning images comprise a planning image called reference planning image describing a part of the anatomical body part which is called reference planning body part; b) acquiring breathing image data describing a set of tomographic medical breathing images of the anatomical body part, wherein the breathing images comprise a reference breathing image describing the reference planning body part in a respiratory state called reference breathing respiratory state, which is different from the reference planning respiratory state, and a target breathing image describing at least another part of the anatomical body part, wherein the other part of the anatomical body part is called target body part, in a respiratory state called target respiratory state which is different from the reference planning respiratory state; c) determining, based on the planning image data and the breathing image data, reference transformation data describing a transformation, called reference transformation, between the geometry of the reference planning body part in the reference planning respiratory state and the geometry of the reference planning body part in the reference breathing respiratory state; d) acquiring scaling factor data describing a scaling factor which describes a relationship between the geometry of the reference planning body part in the reference breathing respiratory state and the geometry of the target body part in the target respiratory state; e) determining, based on the reference transformation and the scaling factor data, derived transformation data describing a transformation called derived transformation between the geometry of the target body part in the reference planning respiratory state, and the geometry of the target body part in the reference breathing respiratory state.