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21.发明申请公开(公告)号：US20160331997A1
公开(公告)日：2016-11-17
申请号：US15024294
申请日：2014-09-08
Applicant: BRAINLAB AG
Inventor： Stefan Vilsmeier
CPC classification number: A61N5/103 , A61N5/1069 , A61N5/1077 , G06F19/00 , G06F19/3481 , G16H20/40
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 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.
Abstract translation: 一种医疗数据处理方法，用于通过在治疗期间借助于一个或多个子束来治疗所述至少一个靶的治疗装置来确定包括患者体内的至少一个照射靶的靶组，用于放射治疗治疗 时间，所述一个或多个子光束构成在治疗时间期间根据治疗计划通过至少一个靶的至少一个治疗束，所述方法包括以下步骤，并且构成为由 计算机：a）获取（S 1.1）关键领域; b）获取（S 1.2）目标数据; c）获取（S 1.3）处理光束准则数据（S 1.4）; 以及e）基于所述关键区域数据确定（S4）所述目标数据，所述治疗束约束数据和所述治疗波束标准数据，描述关于至少一个照射区域的空间信息的目标集合数据。
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公开(公告)号：US20150287195A1
公开(公告)日：2015-10-08
申请号：US14437788
申请日：2013-10-22
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，所述参数集获得 当生成患者图像时，其中参数影响由患者图像中的图像值表示的解剖元件的表示; 获取包括关于被称为模型图像并与参数集相关联的（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的模型数据; 确定被称为PM变换的匹配变换，并且通过匹配与相同参数集相关联的图像，将匹配的患者图像集合分配为模型图像; 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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公开(公告)号：US12266154B2
公开(公告)日：2025-04-01
申请号：US18496306
申请日：2023-10-27
Applicant: Brainlab AG
Inventor： Stefan Vilsmeier , Jens Schmaler
IPC: G06V10/764 , G06T7/00 , G06T7/136 , G06T7/70 , G06V10/26 , G06V10/774 , G06V10/82 , G06V20/69 , G06V20/70
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：US11568989B2
公开(公告)日：2023-01-31
申请号：US16340273
申请日：2016-12-15
Applicant: Brainlab AG
Inventor： Stefan Vilsmeier
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.
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公开(公告)号：US20230016429A1
公开(公告)日：2023-01-19
申请号：US17786879
申请日：2020-12-14
Applicant: Brainlab AG
Inventor： Stefan Vilsmeier , Andreas Blumhofer , Jens SCHMALER , Patrick Hiepe
Abstract: Disclosed is a computer-implemented of adapting a biomechanical model of an anatomical body part of a patient to a current status of the patient. The method encompasses determination of a currently executed step of a workflow such as a medical intervention, the result of the determination serving as a basis for adapting and/or updating a biomechanical model of an anatomical body part to the corresponding current status of the patient. The determination of the current workflow step may also be used as basis for controlling an imaging device for tracking entities around the patient or for imaging the anatomical body part or acquiring further data or for urging the user to perform a specific action such as acquisition of information using a tracked instrument such as a pointer. The biomechanical model has been generated from atlas data. The data sets which are generated according to the current workflow step may additionally or alternatively serve as a basis for determining the current workflow step and/or adapting the further workflow.
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Patent Agency Ranking
26.发明授权公开(公告)号：US10799720B2
公开(公告)日：2020-10-13
申请号：US16149410
申请日：2018-10-02
Applicant: Brainlab AG
Inventor： Stefan Vilsmeier
IPC: A61N5/10
Abstract: The invention relates to a method of determining a radiotherapy treatment plan for radiotherapy treatment of a treatment body part of a patient's body. The method can include acquiring treatment target position data comprising treatment target position information describing the position of a treatment target to be treated by radiotherapy in the treatment body part. Statistic model target region position data is acquired, which describes the position of a model target region in a model body part corresponding to the treatment body part. Based on the treatment target data and the statistic model target region position data, irradiation region position data is determined that describes the position of an irradiation region to be treated by irradiation with treatment radiation in the treatment body part.
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公开(公告)号：USD889494S1
公开(公告)日：2020-07-07
申请号：US29673016
申请日：2018-12-11
Applicant: Brainlab AG
Designer： Stefan Vilsmeier
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公开(公告)号：US20200058397A1
公开(公告)日：2020-02-20
申请号：US16340273
申请日：2016-12-15
Applicant: Brainlab AG
Inventor： Stefan Vilsmeier
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.
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29.发明申请公开(公告)号：US20190038920A1
公开(公告)日：2019-02-07
申请号：US16149410
申请日：2018-10-02
Applicant: Brainlab AG
Inventor： Stefan Vilsmeier
IPC: A61N5/10
CPC classification number: A61N5/1049 , A61N5/103 , A61N2005/1041 , A61N2005/1055
Abstract: The invention relates to a method of determining a radiotherapy treatment plan for radiotherapy treatment of a treatment body part of a patient's body. The method can include acquiring treatment target position data comprising treatment target position information describing the position of a treatment target to be treated by radiotherapy in the treatment body part. Statistic model target region position data is acquired, which describes the position of a model target region in a model body part corresponding to the treatment body part. Based on the treatment target data and the statistic model target region position data, irradiation region position data is determined that describes the position of an irradiation region to be treated by irradiation with treatment radiation in the treatment body part.
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公开(公告)号：US10055848B2
公开(公告)日：2018-08-21
申请号：US14763314
申请日：2013-01-29
Applicant: Brainlab AG
Inventor： Juergen Gassner , Uli Mezger , Valentin Elefteriu , Stefan Vilsmeier
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.
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