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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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公开(公告)号：US10977390B2
公开(公告)日：2021-04-13
申请号：US16754419
申请日：2019-02-28
Applicant: Brainlab AG
Inventor： Andreas Blumhofer , Jens Schmaler
Abstract: Disclosed is a computer-implemented method for generating an anonymized medical image of an anatomical body part of a patient, a corresponding computer program, a program storage medium storing such a program and a computer for executing the program, as well as a medical system comprising an electronic data storage device and the aforementioned computer. The disclosed method encompasses establishing a mapping from a patient image onto an atlas, changing that mapping, and applying the inverse of the changed mapping to the atlas in order to transform image content from the atlas to the patient image in order to achieve a deformed and thereby anonymised appearance of the patient image.
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公开(公告)号：US20170330323A1
公开(公告)日：2017-11-16
申请号：US15608322
申请日：2017-05-30
Applicant: Brainlab AG
Inventor： Andreas Blumhofer
Abstract: A matching transformation is determined for matching a patient image set of images of an anatomical body structure of a patient with an atlas image set of images of a general anatomical structure including anatomical atlas elements. Atlas spatial information containing spatial information on the general anatomical structure, and element representation information are obtained. The element representation information describes representation data sets which contain information on representations of the plurality of atlas elements in the atlas images to be determined are obtained, and also describes a determination rule for determining respective representation data sets for respective atlas elements in accordance with different respective parameter sets. Patient data is acquired by acquiring the patient image set and the parameter sets which are respectively associated with the images of the patient image set. The matching transformation is determined by matching images associated with the same parameter set to each other.
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24.发明授权Determining a four-dimensional CT image based on three-dimensional CT data and four-dimensional model data 有权基于三维CT数据和四维模型数据确定四维CT图像公开(公告)号：US09367926B2
公开(公告)日：2016-06-14
申请号：US14437789
申请日：2012-10-26
Applicant: Brainlab AG
Inventor： Stefan Vilsmeier , Andreas Blumhofer , Stefan Seifert
CPC classification number: G06T7/2046 , G06T7/251 , G06T13/20 , G06T2207/10076 , G06T2207/30048 , G06T2207/30061
Abstract: The invention relates to a data processing method of determining a change of an image of an anatomical body part of a patient's body, the method being executed by a computer and comprising the following steps: a) acquiring static medical image data comprising static medical image information describing anatomical body part in a first anatomical spatial state of an anatomical vital spatial change of the anatomical body part; b) acquiring patient model data comprising patient model information describing a model body part corresponding to the anatomical body part, wherein the patient model information describes the model body part in a plurality of model spatial states of a model vital spatial change corresponding to the anatomical vital spatial change; c) determining spatial state mapping data comprising spatial state mapping information describing at least one of a first mapping from the model body part in a first one of the plurality of model spatial states to the model body part in a second, different one of the plurality of model spatial states, the first model spatial state corresponding to the first anatomical spatial state, and a second mapping from the model body part in the first model spatial state to the anatomical body part in the first anatomical spatial state; d) determining, based on the static medical image data and the spatial state mapping data, transformed medical image data comprising transformed medical image information describing the anatomical body part in a second anatomical spatial state of the anatomical vital spatial change, the second anatomical spatial state corresponding to the second model spatial state.
Abstract translation: 本发明涉及一种确定患者身体的解剖体部分的图像变化的数据处理方法，该方法由计算机执行，并且包括以下步骤：a）获取包括静态医学图像信息的静态医学图像数据 在解剖体部分的解剖学重要空间变化的第一解剖空间状态中描述解剖体部分; b）获取患者模型数据，所述患者模型数据包括描述对应于所述解剖体部分的模型身体部位的患者模型信息，其中所述患者模型信息描述模型重要空间变化的多个模型空间状态中的模型身体部位， 空间变化 c）确定空间状态映射数据，所述空间状态映射数据包括描述从所述多个模型空间状态中的第一模型空间状态中的模型主体部分到所述多个模型空间状态中的第二不同模型主体部分中的模型主体部分的至少一个映射信息 模型空间状态，对应于第一解剖空间状态的第一模型空间状态，以及从第一模型空间状态中的模型身体部分到第一解剖空间状态中的解剖体部分的第二映射; d）基于静态医学图像数据和空间状态映射数据确定包括描述解剖学主体部分的解剖学空间变化的第二解剖空间状态的变换的医学图像信息的转换的医学图像数据，第二解剖空间状态 对应于第二模型空间状态。
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25.发明申请Determining a Four-Dimensional CT Image Based on Three-Dimensional CT Data and Four-Dimensional Model Data 有权基于三维CT数据和四维模型数据确定四维CT图像公开(公告)号：US20150302608A1
公开(公告)日：2015-10-22
申请号：US14437789
申请日：2012-10-26
Applicant: Brainlab AG
Inventor： Stefan Vilsmeier , Andreas Blumhofer , Stefan Seifert
CPC classification number: G06T7/2046 , G06T7/251 , G06T13/20 , G06T2207/10076 , G06T2207/30048 , G06T2207/30061
Abstract: The invention relates to a data processing method of determining a change of an image of an anatomical body part of a patient's body, the method being executed by a computer and comprising the following steps: a) acquiring static medical image data comprising static medical image information describing anatomical body part in a first anatomical spatial state of an anatomical vital spatial change of the anatomical body part; b) acquiring patient model data comprising patient model information describing a model body part corresponding to the anatomical body part, wherein the patient model information describes the model body part in a plurality of model spatial states of a model vital spatial change corresponding to the anatomical vital spatial change; c) determining spatial state mapping data comprising spatial state mapping information describing at least one of a first mapping from the model body part in a first one of the plurality of model spatial states to the model body part in a second, different one of the plurality of model spatial states, the first model spatial state corresponding to the first anatomical spatial state, and a second mapping from the model body part in the first model spatial state to the anatomical body part in the first anatomical spatial state; d) determining, based on the static medical image data and the spatial state mapping data, transformed medical image data comprising transformed medical image information describing the anatomical body part in a second anatomical spatial state of the anatomical vital spatial change, the second anatomical spatial state corresponding to the second model spatial state.
Abstract translation: 本发明涉及一种确定患者身体的解剖体部分的图像变化的数据处理方法，该方法由计算机执行，并且包括以下步骤：a）获取包括静态医学图像信息的静态医学图像数据 在解剖体部分的解剖学重要空间变化的第一解剖空间状态中描述解剖体部分; b）获取患者模型数据，所述患者模型数据包括描述对应于所述解剖体部分的模型身体部位的患者模型信息，其中所述患者模型信息描述模型重要空间变化的多个模型空间状态中的模型身体部位， 空间变化 c）确定空间状态映射数据，所述空间状态映射数据包括描述从所述多个模型空间状态中的第一模型空间状态中的模型主体部分到所述多个模型空间状态中的第二不同模型主体部分中的模型主体部分的至少一个映射信息 模型空间状态，对应于第一解剖空间状态的第一模型空间状态，以及从第一模型空间状态中的模型身体部分到第一解剖空间状态中的解剖体部分的第二映射; d）基于静态医学图像数据和空间状态映射数据确定包括描述解剖学主体部分的解剖学空间变化的第二解剖空间状态的变换的医学图像信息的转换的医学图像数据，第二解剖空间状态 对应于第二模型空间状态。
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Patent Agency Ranking
26.发明申请SIMULATION OF OBJECTS IN AN ATLAS AND REGISTRATION OF PATIENT DATA CONTAINING A SPECIFIC STRUCTURE TO ATLAS DATA 审中-公开模拟ATLAS中的对象，并将含有特定结构的患者数据注册到ATLAS数据公开(公告)号：US20150278471A1
公开(公告)日：2015-10-01
申请号：US14438400
申请日：2013-10-22
Applicant: BRAINLAB AG
Inventor： Andreas Blumhofer , Balint Varkuti , Mona Frommert
Abstract: A data processing method for registering patient data containing normal patient data and specific object data to atlas data not containing this specific object data, the method comprising the following steps performed by a computer: a) acquiring the patient data which comprises anatomical information of the patient including normal patient data and the specific object data of the patient; b) segmenting the specific object data in the patient data; c) acquiring atlas data; d) acquiring meta-information about components of the atlas data; e) performing a fusion of the acquired patient data excluding the segmented specific object data and the atlas data to obtain registered atlas data; and f) simulating the growth of a simulated specific object within the registered atlas data using the registered atlas data and the meta-information about components of the atlas data being adjacent to the area of the specific object to obtain registered atlas data containing a simulated grown specific object.
Abstract translation: 一种数据处理方法，用于将包含正常患者数据和特定对象数据的患者数据注册到不包含该特定对象数据的图集数据，该方法包括由计算机执行的以下步骤：a）获取包括患者的解剖信息的患者数据 包括正常的患者数据和患者的特定对象数据; b）分割患者数据中的特定对象数据; c）获取地图集数据; d）获取关于图集数据的组件的元信息; e）执行除所分割的特定对象数据和图集数据之外的获取的患者数据的融合以获得注册的图集数据; 以及f）使用登记的地图集数据和与特定对象的区域相邻的地图集数据的元素的元信息来模拟登记的地图集数据内的模拟特定对象的生长，以获得包含模拟生长的注册地图集 具体对象。
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公开(公告)号：US11877809B2
公开(公告)日：2024-01-23
申请号：US17281478
申请日：2019-12-18
Applicant: Brainlab AG
Inventor： Stefan Vilsmeier , Andreas Blumhofer , Jens Schmaler , Patrick Hiepe
CPC classification number: A61B34/20 , A61B34/10 , G06T7/0012 , G06V10/17 , G06V10/25 , G16H30/40 , G16H50/50 , A61B2034/102 , A61B2034/105 , A61B2034/2063 , A61B2034/2065
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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公开(公告)号：US11593519B2
公开(公告)日：2023-02-28
申请号：US17225000
申请日：2021-04-07
Applicant: Brainlab AG
Inventor： Andreas Blumhofer , Jens Schmaler
Abstract: Disclosed is a computer-implemented method for generating an anonymized medical image of an anatomical body part of a patient, a corresponding computer program, a program storage medium storing such a program and a computer for executing the program, as well as a medical system comprising an electronic data storage device and the aforementioned computer. The disclosed method encompasses establishing a mapping from a patient image onto an atlas, changing that mapping, and applying the inverse of the changed mapping to the atlas in order to transform image content from the atlas to the patient image in order to achieve a deformed and thereby anonymised appearance of the patient image.
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公开(公告)号：US10832423B1
公开(公告)日：2020-11-10
申请号：US16317588
申请日：2018-01-08
Applicant: Brainlab AG
Inventor： Mona Frommert , Robert Lucht , Andreas Blumhofer
Abstract: Disclosed is a computer-implemented method of determining an atlas element. The method encompasses acquiring model image data that describes at least one fixed element (an anatomical element such as an anatomical body part, for example, a rib). Patient image data is acquired that describes an improvable element (an anatomical element such as an anatomical body part, for example heart). Region data is acquired, for example by assigning a homogeneous grey value to a region of the model image. The patient image is matched to the model image, wherein no matching is performed within the region. A transformation for mapping the improvable element into the region is determined based on matching. Several patient images are then mapped into the region and superimposed. An atlas element is determined based on the superimposed images. The method may be repeated using the determined anatomical atlas element as a constraint to detect further atlas elements.
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公开(公告)号：US10417762B2
公开(公告)日：2019-09-17
申请号：US15608322
申请日：2017-05-30
Applicant: Brainlab AG
Inventor： Andreas Blumhofer
IPC: G06K9/00 , G06T7/00 , G06T3/00 , G06T11/00 , G06T7/30 , G06T7/32 , G06T7/38 , G06F19/00 , G16H30/20 , G16H50/50
Abstract: A matching transformation is determined for matching a patient image set of images of an anatomical body structure of a patient with an atlas image set of images of a general anatomical structure including anatomical atlas elements. Atlas spatial information containing spatial information on the general anatomical structure, and element representation information are obtained. The element representation information describes representation data sets which contain information on representations of the plurality of atlas elements in the atlas images to be determined are obtained, and also describes a determination rule for determining respective representation data sets for respective atlas elements in accordance with different respective parameter sets. Patient data is acquired by acquiring the patient image set and the parameter sets which are respectively associated with the images of the patient image set. The matching transformation is determined by matching images associated with the same parameter set to each other.
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