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1. 发明申请

WO2012025143A1 METHOD FOR MODIFYING A MEDICAL DATA SET 审中-公开
标题翻译：用于修改医疗数据集的方法
公开(公告)号：WO2012025143A1
公开(公告)日：2012-03-01
申请号：PCT/EP2010/062319
申请日：2010-08-24
申请人： BrainLAB AG , BLUMHOFER, Andreas
发明人： BLUMHOFER, Andreas
IPC分类号： G06T7/00
CPC分类号： G06T7/0012 , G06T7/12 , G06T2207/20096 , G06T2207/20104 , G06T2207/20128 , G06T2207/30004 , G06T2207/30008
摘要： A method for modifying a first data set, which is called the target data set and represents the contour of an anatomical object, the method comprising the steps of: - matching a second data set, which is called the template data set and comprises a template for the modification and a template of the object, to the target data set such that the object template in the template data set matches the object in the target data set, thereby also adapting the modification template; - applying the adapted modification template to the target data set.
摘要翻译：一种用于修改称为目标数据集并表示解剖对象的轮廓的第一数据集的方法，所述方法包括以下步骤： - 匹配被称为模板数据集的第二数据集，并且包括模板用于对象的修改和模板到目标数据集，使得模板数据集中的对象模板与目标数据集中的对象匹配，从而也适配修改模板; - 将适应的修改模板应用于目标数据集。

2. 发明申请

WO2021122456A1 USING A CURRENT WORKFLOW STEP FOR CONTROL OF MEDICAL DATA PROCESSING 审中-公开
公开(公告)号：WO2021122456A1
公开(公告)日：2021-06-24
申请号：PCT/EP2020/085983
申请日：2020-12-14
申请人： BRAINLAB AG
发明人： VILSMEIER, Stefan , BLUMHOFER, Andreas , SCHMALER, Jens , HIEPE, Patrick
IPC分类号： A61B34/10 , A61B2034/104 , A61B2034/105 , A61B2034/2051 , A61B2034/2055 , A61B2034/2068 , A61B2034/252 , A61B2090/365 , A61B2090/502 , A61B34/20 , G16H20/40 , G16H30/20 , G16H30/40 , G16H50/50
摘要： 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.

3. 发明申请

WO2015043671A1 GENERATING SUPPLEMENTARY SLICE IMAGES BASED ON ATLAS DATA 审中-公开
标题翻译：基于ATLAS数据生成辅助片段图像
公开(公告)号：WO2015043671A1
公开(公告)日：2015-04-02
申请号：PCT/EP2013/070331
申请日：2013-09-30
申请人： BRAINLAB AG
发明人： LACHNER, Rainer , VÁRKUTI, Bálint , BLUMHOFER, Andreas
IPC分类号： G06T7/00
CPC分类号： G06T7/337 , G06T7/344 , G06T2207/10072 , G06T2207/10116 , G06T2207/20128 , G06T2207/20221 , G06T2207/30012 , G06T2207/30016
摘要： A medical data processing method of determining a virtual image (2) of a part of a patient's body (4), the method being constituted to be executed by a computer and comprising the following steps: a) acquiring (S1) patient image data describing at least two two-dimensional patient images (1) of anatomical body parts (3) of the patient's body (4); b) acquiring (S2) atlas data describing a general structure (5) of at least part of the patient's body comprising correspondence parts corresponding to the anatomical body parts (3); c) acquiring correspondence part position data describing the positions of the correspondence parts in the general structure (5); determining (S4.1, S4.2, S4.3), based on the patient image data and the atlas data and the correspondence part position data, virtual image data describing a two-dimensional virtual image (2) of a part (21, 22) of the general structure (5) having a position in the general structure (5) which lies between the positions of the correspondence parts.
摘要翻译：一种用于确定患者身体（4）的一部分的虚拟图像（2）的医疗数据处理方法，所述方法被构造成由计算机执行，并且包括以下步骤：a）获取（S1）描述的患者图像数据患者身体（4）的解剖体部分（3）的至少两个二维患者图像（1）; b）获取（S2）描述包括对应于解剖体部分（3）的对应部分的患者身体的至少一部分的一般结构（5）的图形数据。 c）获取描述一般结构（5）中对应部分的位置的对应部位位置数据; 基于患者图像数据和图谱数据和对应部位位置数据确定（S4.1，S4.2，S4.3），描述部分（21）的二维虚像（2）的虚拟图像数据，具有在通用结构（5）中位于所述对应部件的位置之间的位置的通用结构（5）的端部（22）。

4. 发明申请

WO2021121631A1 CORRECTING SEGMENTATION OF MEDICAL IMAGES USING A STATISTICAL ANALYSIS OF HISTORIC CORRECTIONS 审中-公开
公开(公告)号：WO2021121631A1
公开(公告)日：2021-06-24
申请号：PCT/EP2019/086789
申请日：2019-12-20
申请人： BRAINLAB AG
发明人： VILSMEIER, Stefan , BLUMHOFER, Andreas , SCHMALER, Jens
IPC分类号： G06T7/174 , G06T7/143 , G06T7/00 , G06T2207/20081 , G06T2207/20084 , G06T2207/20092 , G06T2207/20128 , G06T7/0012
摘要： Disclosed is a computer-implemented methods of determining distributions of corrections for correcting the segmentation of medical image data, determining corrections for correcting the segmentation of medical image data,training a learning algorithm for determining a segmentation of a digital medical image, and determining a relation between an image representation of the anatomical body part in an individual medical image and a label to be associated with the image representation of the anatomical body part in the individual medical image using the trained machine learning algorithm. The methods encompass reading a plurality of corrections to image segmentations, wherein the corrections themselves may have been manually generated, transforming these corrections into a reference system which is not patient- specific such as an atlas reference system, conducting a statistical analysis of the correction, and applying the re-transformed result of the statistical analysis to patient images. The result of the statistical analysis may also be used to appropriately train a machine learning algorithm for automatic segmentation of patient images. The application of such a trained machine learning algorithm is also part of this disclosure.

5. 发明申请

WO2020173573A1 ANONYMISATION OF MEDICAL PATIENT IMAGES USING AN ATLAS 审中-公开
公开(公告)号：WO2020173573A1
公开(公告)日：2020-09-03
申请号：PCT/EP2019/055052
申请日：2019-02-28
申请人： BRAINLAB AG
发明人： BLUMHOFER, Andreas , SCHMALER, Jens
IPC分类号： G16H30/40 , G06F21/62
摘要： 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.

6. 发明申请

WO2020094226A1 COMPARTMENTALIZED DYNAMIC ATLAS 审中-公开
公开(公告)号：WO2020094226A1
公开(公告)日：2020-05-14
申请号：PCT/EP2018/080491
申请日：2018-11-07
申请人： BRAINLAB AG
发明人： BERLINGER, Kajetan , BLUMHOFER, Andreas
IPC分类号： G16H30/40 , G16H50/70
摘要： 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.

7. 发明申请

WO2014063840A1 MATCHING PATIENT IMAGES OF DIFFERENT IMAGING MODALITY USING ATLAS INFORMATION 审中-公开
标题翻译：使用ATLAS信息匹配不同成像模式的患者图像
公开(公告)号：WO2014063840A1
公开(公告)日：2014-05-01
申请号：PCT/EP2013/063640
申请日：2013-06-28
申请人： BRAINLAB AG
发明人： BLUMHOFER, Andreas , VARKUTI, Bálint , SCHMALER, Jens
IPC分类号： G06T7/00
CPC分类号： G06T7/0012 , G06F19/00 , G06F19/321 , G06T3/0056 , G06T7/30 , G06T7/32 , G06T7/38 , G06T11/008 , G06T2207/10004 , G06T2207/10076 , G06T2207/10081 , G06T2207/10084 , G06T2207/10088 , G06T2207/10116 , G06T2207/20081 , G06T2207/20104 , G06T2207/20128 , G06T2207/20221 , G06T2207/30004 , G06T2207/30196 , G16H50/50
摘要： The present invention relates to a medical data processing method of transforming a representation of an anatomical structure (1) of a patient in a first imaging modality into a representation of the anatomical structure (1') in a second, other imaging modality, the method being constituted to be executed by a computer and comprising the following steps: a) acquiring (S1) first modality image data describing the first modality medical image containing the representation of the anatomical structure (1) in the first imaging modality; b) acquiring (S1) atlas data describing a first modality atlas image describing a general structure of the anatomical structure (1) in the first imaging modality, the atlas data containing information about the representation of the general structure in the second imaging modality; c) determining (S3), based on the first modality image data and the atlas data, a first matching transformation between the first modality medical image and the first modality atlas image; d) determining (S5), based on the first matching transformation and the first modality atlas image and the information about the representation of the general structure in the second imaging modality second modality, a second modality image representation of the first modality medical
摘要翻译：本发明涉及将第一成像模式中的患者的解剖结构（1）的表示变换为第二其他成像模态中的解剖结构（1'）的表示的医疗数据处理方法，该方法被构造为由计算机执行并且包括以下步骤：a）获取（S1）描述在第一成像模式中包含解剖结构（1）的表示的第一模态医学图像的第一模态图像数据; b）获取（S1）描述描述第一成像模态中解剖结构（1）的一般结构的第一模态图集的图像数据，所述图集数据包含关于第二成像模态中的一般结构的表示的信息; c）基于第一模态图像数据和图集数据确定（S3）第一模态医学图像和第一模态图谱之间的第一匹配变换; d）基于第一匹配变换和第一模态图集和关于第二成像模态第二模态中的一般结构的表示的信息来确定（S5），第一模态医学的第二模态图像表示

8. 发明申请

WO2014023350A1 LOCALIZATION OF FIBROUS NEURAL STRUCTURES 审中-公开
标题翻译：纤维神经结构局部化
公开(公告)号：WO2014023350A1
公开(公告)日：2014-02-13
申请号：PCT/EP2012/065567
申请日：2012-08-09
申请人： BRAINLAB AG , LACHNER, Rainer , BLUMHOFER, Andreas
发明人： LACHNER, Rainer , BLUMHOFER, Andreas
IPC分类号： G06T7/00
CPC分类号： A61B5/055 , A61B5/4893 , A61B5/7275 , G06F19/00 , G06F19/34 , G06T7/11 , G06T2207/10092 , G06T2207/20128 , G06T2207/30016
摘要： A data processing method for determining a path of a neural fibre in a patient, comprising the steps of: a) acquiring an atlas dataset representing an atlas of a fibrous structure comprising the neural fibre b) acquiring a nerve indicating dataset comprising information suitable for identifying the neural fibre in the patient c) calculating a matched atlas dataset by registering the atlas dataset with the nerve indicating dataset d) obtaining a generic path of the neural fibre from the matched atlas dataset e) defining a constraining volume in the patient around the generic path, the constraining volume having at least two end surfaces on which the generic path ends and f) determining the path of the neural fibre between end surfaces using a probabilistic approach, wherein the determined path lies completely within the constraining volume.
摘要翻译：一种用于确定患者中的神经纤维的路径的数据处理方法，包括以下步骤：a）获取表示包含所述神经纤维的纤维结构的图集的图谱数据集b）获取神经指示数据集，其包含适于识别的信息患者中的神经纤维c）通过将图谱数据集与神经指示数据集注册来计算匹配的图集数据集d）从匹配的图集数据集获得神经纤维的通用路径e）在通用的定义周围的患者周围定义约束体积所述约束体积具有至少两个端面，所述通用路径终止于所述至少两个端面，以及f）使用概率方法确定所述神经纤维在端面之间的路径，其中所确定的路径完全位于约束体积内。

9. 发明申请

WO2019166074A1 CONSTRAINED OBJECT CORRECTION FOR A SEGMENTED IMAGE 审中-公开
公开(公告)号：WO2019166074A1
公开(公告)日：2019-09-06
申请号：PCT/EP2018/054794
申请日：2018-02-27
申请人： BRAINLAB AG
发明人： BLUMHOFER, Andreas , SCHMALER, Jens , GIESE, Andreas
IPC分类号： G06T7/11 , G06T7/174
摘要： Disclosed is a computer-implemented method of segmenting a medical patient image using an atlas and relating the segmentation result to a model of possible geometric changes to the segmentation result (e.g. for correcting the position of the segmentation of anatomical structures) which consider for example anatomical limitations. The thus-related segmentation result may be used as a basis for changing and/or correcting the position, shape and/or orientation of at least parts of the segmentation result, e.g. by user interaction. The invention also relates to an atlas data set comprising information such as values of the variables of the model of possible geometric changes in relation to the positions of anatomical structures in the atlas.

10. 发明申请

WO2015003748A1 GENERATION OF A PATIENT-SPECIFIC ANATOMICAL ATLAS 审中-公开
标题翻译：患者特异性解剖学ATLAS的产生
公开(公告)号：WO2015003748A1
公开(公告)日：2015-01-15
申请号：PCT/EP2013/064636
申请日：2013-07-11
申请人： BRAINLAB AG
发明人： BLUMHOFER, Andreas , ACHATZ, Stefan , VÁRKUTI, Bálint
IPC分类号： G06T7/00
CPC分类号： G06T7/0014 , G06T7/33 , G06T7/337 , G06T7/60 , G06T7/90 , G06T2207/20128 , G06T2207/30016
摘要： A medical data processing method of matching a medical image of an anatomical structure of a patient's body with an atlas-based representation of the anatomical structure, the method being constituted to be executed by a computer and comprising the following steps; acquiring patient image data describing a medical image representation of the anatomical structure in the medical image; determining, based on the patient image data, patient substructure data describing a plurality of patient substructure representations each describing a different patient substructure of the anatomical structure; acquiring general substructure data describing a general substructure representation of each of a plurality of general substructures for each of the patient substructures; determining, for each of the patient substructures and based on the patient substructure data and the general substructure data, substructure matching data describing a matching general substructure representation which matches the respective patient substructure representation; determining, based on the general substructure data and the substructure matching data, anatomical structure atlas data describing an atlas representation of the anatomical structure; determining, based on the patient image data and the anatomical structure atlas data, matching transformation data describing an atlas-patient matching transformation between the medical image representation of the anatomical structure and the atlas representation of the anatomical structure.
摘要翻译：一种医疗数据处理方法，其将患者身体的解剖结构的医学图像与解剖结构的基于图集的表示进行匹配，所述方法被构造成由计算机执行，并且包括以下步骤：获取描述医学图像中的解剖结构的医学图像表示的患者图像数据; 基于患者图像数据确定描述多个患者子结构表示的患者子结构数据，每个患者子结构表示描述解剖结构的不同患者子结构; 获取描述每个患者子结构的多个通用子结构中的每一个的一般子结构表示的一般子结构数据; 确定对于每个患者子结构并且基于患者子结构数据和一般子结构数据，描述与相应患者子结构表示匹配的匹配的一般子结构表示的子结构匹配数据; 基于一般子结构数据和子结构匹配数据，确定描述解剖结构的图集表示的解剖结构图集数据; 基于患者图像数据和解剖结构图集数据确定描述解剖结构的医学图像表示与解剖结构的图集表示之间的图谱 - 患者匹配变换的匹配变换数据。

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