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公开(公告)号：US11978561B2
公开(公告)日：2024-05-07
申请号：US18103379
申请日：2023-01-30
Applicant: Brainlab AG
Inventor： Stefan Vilsmeier
CPC classification number: G16H50/20 , A61B5/02 , G06N3/08 , G06N20/00 , A61B2562/0219
Abstract: Disclosed is a medical data processing method for determining an indicator relating to an injury of an anatomical structure (1) of a patient, wherein the method comprises executing, on at least one processor (5) of at least one computer (3), steps of:
a) acquiring (S1) acceleration data describing an energy of a set of one or more signals in dependence on both time and frequency, the set of signals acquired by measuring the acceleration of the anatomical structure (1) over time;
b) acquiring (S2) analysis data describing an analysis rule for determining at least one of
b1) an overall energy level of at least one signal of the set of signals,
b2) a correlation between at least two signals of the set of signals in the frequency domain, the at least two signals respectively measured at at least two different respective regions of the anatomical structure (1), or
b3) a relationship between energies given for at least two different frequency ranges of at least one signal of the set of signals;
c) determining (S3) indicator data describing the indicator based on the acceleration data and the analysis data.-
公开(公告)号：US11848092B2
公开(公告)日：2023-12-19
申请号：US17510008
申请日：2021-10-25
Applicant: Brainlab AG
Inventor： Stefan Vilsmeier
CPC classification number: G16H20/40 , A61B34/10 , A61N5/1031 , A61N5/1038 , A61N5/1039 , G16H10/60 , G16H50/50 , G16Z99/00 , A61B2034/104 , A61B2034/107
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.
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公开(公告)号：US20230253111A1
公开(公告)日：2023-08-10
申请号：US18103379
申请日：2023-01-30
Applicant: Brainlab AG
Inventor： Stefan Vilsmeier
CPC classification number: G16H50/20 , G06N20/00 , A61B5/02 , G06N3/08 , A61B2562/0219
Abstract: Disclosed is a medical data processing method for determining an indicator relating to an injury of an anatomical structure (1) of a patient, wherein the method comprises executing, on at least one processor (5) of at least one computer (3), steps of:
a) acquiring (S1) acceleration data describing an energy of a set of one or more signals in dependence on both time and frequency, the set of signals acquired by measuring the acceleration of the anatomical structure (1) over time;
b) acquiring (S2) analysis data describing an analysis rule for determining at least one of
b1) an overall energy level of at least one signal of the set of signals,
b2) a correlation between at least two signals of the set of signals in the frequency domain, the at least two signals respectively measured at at least two different respective regions of the anatomical structure (1), or
b3) a relationship between energies given for at least two different frequency ranges of at least one signal of the set of signals;
c) determining (S3) indicator data describing the indicator based on the acceleration data and the analysis data.-
公开(公告)号：US20220122255A1
公开(公告)日：2022-04-21
申请号：US17281472
申请日：2019-12-19
Applicant: Brainlab AG
Inventor： Stefan Vilsmeier , Jens Schmaler
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：US10762341B2
公开(公告)日：2020-09-01
申请号：US16185648
申请日：2018-11-09
Applicant: Brainlab AG
Inventor： Stefan Vilsmeier , Christian Brack , Ingmar Hook , Timo Neubauer
Abstract: The present invention relates to a medical tracking system comprising at least one sensor device which can be positioned in a fixed position relative to a target, the sensor device comprising a marker device and a marker device detector, the marker device detector being capable of obtaining information for determining a relative position between the marker device detector and another marker device, the system further comprising a control unit configured to process a medical navigation workflow and to select the function of the sensor device as either acting as a marker device detector or as a marker device in a step of the medical navigation workflow.
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Patent Agency Ranking
公开(公告)号：US10022559B2
公开(公告)日：2018-07-17
申请号：US15024294
申请日：2014-09-08
Applicant: Brainlab AG
Inventor： Stefan Vilsmeier
Abstract: A medical data processing method for determining a target set comprising at least one irradiation target in a patient's body for radiation therapy treatment by means of a treatment device constituted to treat the at least one target by means of one or more sub-beams during a treatment time, the one or more sub-beams constituting at least one treatment beam which is to pass through the at least one target in accordance with a treatment plan during the treatment time, the method comprising the following steps and being constituted to be executed by a computer: a) acquiring (S 1.1) critical area; b) acquiring (S 1.2) target data; c) acquiring (S 1.3) treatment beam constraint data; d) acquiring treatment beam criteria data (S 1.4); and e) determining (S4), based on the critical area data, the target data, the treatment beam constraint data and the treatment beam criteria data, target set data describing spatial information on at least one irradiation region.
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公开(公告)号：US09925392B2
公开(公告)日：2018-03-27
申请号：US15505819
申请日：2015-08-27
Applicant: Brainlab AG
Inventor： Stefan Vilsmeier
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 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).
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公开(公告)号：US20170084028A1
公开(公告)日：2017-03-23
申请号：US15311183
申请日：2014-05-15
Applicant: Brainlab AG
Inventor： Stefan Vilsmeier
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.
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9.发明申请Three-Dimensional Image Segmentation Based on a Two-Dimensional Image Information 审中-公开基于二维图像信息的三维图像分割公开(公告)号：US20150371390A1
公开(公告)日：2015-12-24
申请号：US14763314
申请日：2013-01-29
Applicant: Brainlab AG
Inventor： Juergen Gassner , Uli Mezger , Valentin Elefteriu , Stefan Vilsmeier
IPC: G06T7/00
CPC classification number: G06T7/73 , G06T7/0012 , G06T7/10 , G06T7/74 , G06T2207/10056 , G06T2207/30016 , G06T2207/30096
Abstract: The invention relates to a data processing method of determining a transformation for transforming medical image data into a positional reference system, the method being executed by a computer and comprising the following steps: a) acquiring, from a medical imaging apparatus (5), medical image data comprising medical image information describing a two-dimensional image of an anatomical body part (1); b) acquiring medical image selection data comprising medical image selection information describing a selection (4) from the medical image information; c) acquiring imaging apparatus characteristic data comprising imaging apparatus characteristic information describing an imaging characteristic of the medical imaging apparatus (5); d) determining, based on the medical image data, medical image selection data and imaging apparatus characteristic data, selection position data comprising selection position information describing a three-dimensional position of an anatomical structure (2) in the anatomical body part (1) corresponding to the selection from the medical image information.
Abstract translation: 本发明涉及一种确定用于将医学图像数据转换为位置参考系统的变换的数据处理方法，该方法由计算机执行，并且包括以下步骤：a）从医疗成像设备（5）获取医疗 图像数据，包括描述解剖体部分（1）的二维图像的医学图像信息; b）从医学图像信息获取包括描述选择（4）的医学图像选择信息的医学图像选择数据; c）获取包括描述医学成像设备（5）的成像特征的成像设备特征信息的成像设备特征数据; d）基于医学图像数据确定医学图像选择数据和成像设备特征数据，选择位置数据包括描述解剖体部分（1）中的解剖结构（2）的三维位置的选择位置信息对应 从医学图像信息的选择。
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公开(公告)号：US20150287198A1
公开(公告)日：2015-10-08
申请号：US14438519
申请日：2012-10-26
Applicant: BRAINLAB AG
Inventor： Stefan Vilsmeier
IPC: G06T7/00
CPC classification number: G06T7/0014 , G06F19/00 , G06T7/30 , G06T2207/30004 , G16H50/50
Abstract: A data processing method for determining data which are referred to as atlas data and comprise information on a description of an image of a general anatomical structure, wherein this image is referred to as the atlas image, the method comprising the following steps performed by a computer: • acquiring patient data which comprise a description of a set of images of an anatomical structure of a set of patients, wherein the images are referred to as patient images and each patient image is associated with a parameter set which comprises one or more parameters which obtain when the patient images are generated, wherein the parameters influence representations of anatomical elements as expressed by image values in the patient images; • acquiring model data which comprise information on a description of an image of a model of an anatomical structure of a (single or average or generic) patient which is referred to as the model image and is associated with the parameter set; • determining matching transformations which are referred to as PM transformations and which are constituted to respectively match the set of patient images of the set of patients to the model image by matching images associated with the same parameter set; • determining an inverse average transformation by applying an inverting and averaging operation to the determined PM transformations; and a) determining the atlas data by applying the determined inverse average transformation to the model data; or b) respectively applying the determined PM transformations to the respective patient images in order to determine matched patient images, averaging the matched patient images in order to determine an average matched patient image, and determining the atlas data by applying the determined inverse average transformation to the average matched patient image.
Abstract translation: 一种用于确定被称为图集数据的数据的数据处理方法，并且包括关于一般解剖结构的图像的描述的信息，其中该图像被称为图集图像，该方法包括由计算机执行的以下步骤 ：·获取患者数据，其包括对一组患者的解剖结构的一组图像的描述，其中所述图像被称为患者图像，并且每个患者图像与包括一个或多个参数的参数集相关联， 获得患者图像生成时，其中参数影响解剖元素的表示，如患者图像中的图像值所表示; •获取模型数据，其包括关于被称为模型图像并与参数组相关联的（单个或平均或一般）患者的解剖结构的模型的图像的描述的信息; •确定被称为PM变换的匹配变换，并且通过匹配与相同参数组相关联的图像来构造，以将所述患者组的患者图像的集合分别与模型图像匹配; •通过对所确定的PM变换应用反相和平均运算来确定逆平均变换; 以及a）通过将确定的反平均变换应用于模型数据来确定图集数据; 或b）分别将确定的PM变换应用于相应的患者图像，以便确定匹配的患者图像，对匹配的患者图像进行平均，以便确定平均匹配的患者图像，以及通过将确定的平均平均变换应用于 平均匹配的患者图像。
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