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1. 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。

2. 发明申请

WO2012072129A1 LONGITUDINAL MONITORING OF PATHOLOGY 审中-公开
标题翻译：纵向监测病理学
公开(公告)号：WO2012072129A1
公开(公告)日：2012-06-07
申请号：PCT/EP2010/068645
申请日：2010-12-01
申请人： BrainLAB AG , THOMSON, Rowena , LACHNER, Rainer
发明人： THOMSON, Rowena , LACHNER, Rainer
IPC分类号： G06T7/00
CPC分类号： G06T7/0012 , G06T7/11 , G06T7/143 , G06T2207/30016
摘要： The present invention relates to a method for processing image data comprising image information about a body region of a patient, the method being at least partly executed by an electronic data processing device and comprising the following steps: d) providing the image data; e) assigning, to elements of the image information, a predetermined probability for the image information contained in the respective element representing a predetermined tissue class, wherein the predetermined probability is provided independently of information about at least part of a body which is different from the body of the patient; f) determining, on the basis of the predetermined probability and for a subset of the image information comprising a plurality of the elements, an element- specific probability for individual elements of the subset representing an element-specific tissue class.
摘要翻译：本发明涉及一种处理图像数据的方法，该图像数据包括关于患者的身体区域的图像信息，所述方法至少部分地由电子数据处理设备执行，并且包括以下步骤：d）提供图像数据; e）向图像信息的元素分配表示包含在表示预定组织类别的各个元素中的图像信息的预定概率，其中，预定概率是独立于关于不同于病人身体; f）基于所述预定概率以及对于包括多个所述元素的图像信息的子集来确定表示元素特定组织类别的子集的各个元素的元素特定概率。

3. 发明申请

WO2012155964A1 DETERMINATION OF A PHYSICALLY-VARYING ANATOMICAL STRUCTURE 审中-公开
标题翻译：物理变化解剖结构的确定
公开(公告)号：WO2012155964A1
公开(公告)日：2012-11-22
申请号：PCT/EP2011/057972
申请日：2011-05-17
申请人： BRAINLAB AG , THOMSON, Rowena , MITTERMEYER, Stephan , LACHNER, Rainer
发明人： THOMSON, Rowena , MITTERMEYER, Stephan , LACHNER, Rainer
IPC分类号： G06T7/00 , G06T7/20
CPC分类号： G06T7/0012 , A61B5/061 , G06T5/50 , G06T7/0016 , G06T7/215 , G06T7/97 , G06T2207/30016 , G06T2207/30096
摘要： The present invention relates to a data processing method for providing variation data which describe a physically-varying anatomical structure, in particular an indiscernible anatomical structure, in particular a non-enhancing tumour, comprising the steps of: providing second image data which describe a second image of a region of an anatomical body, wherein the region includes a second anatomical part which includes the physically-varying anatomical structure; providing first image data which represent a first image of the same region, wherein said same region includes a first anatomical part which does not include the physically-varying anatomical structure or which includes the physically-varying anatomical structure in a different physical state than in the second anatomical part; providing position change data which describe positional changes of corresponding image elements between the first image and the second image, on the basis of the first and second image data; and providing the variation data on the basis of the position change data.
摘要翻译：本发明涉及一种数据处理方法，用于提供描述物理变化的解剖结构，特别是不可识别的解剖结构，特别是非增强肿瘤的变化数据，包括以下步骤：提供描述第二个图像数据的第二图像数据解剖体的区域的图像，其中所述区域包括包括物理变化的解剖结构的第二解剖部分; 提供表示相同区域的第一图像的第一图像数据，其中所述相同区域包括不包括物理变化的解剖结构的第一解剖部分，或者包括物理上不同的物理状态的解剖结构，而不同于第二解剖部位; 提供基于第一和第二图像数据描述第一图像和第二图像之间的对应图像元素的位置变化的位置变化数据; 以及基于位置变化数据提供变化数据。

4. 发明申请

WO2012103949A1 RETROSPECTIVE MRI IMAGE DISTORTION CORRECTION 审中-公开
标题翻译：回顾性MRI图像畸变校正
公开(公告)号：WO2012103949A1
公开(公告)日：2012-08-09
申请号：PCT/EP2011/051563
申请日：2011-02-03
申请人： BRAINLAB AG , VILSMEIER, Stefan , LACHNER, Rainer
发明人： VILSMEIER, Stefan , LACHNER, Rainer
IPC分类号： G01N24/08 , G01R33/565 , G01R33/56
CPC分类号： G06T7/0012 , G01R33/5608 , G01R33/565 , G01R33/56563 , G01R33/56572 , G06T7/33 , G06T2207/10072 , G06T2207/20016 , G06T2207/30016
摘要： The invention relates to a method for correcting MRI image distortion, in which a distortion correction procedure is carried out on an acquired MRI image data set (1) of a body region by graphical data processing, characterised in that: - after the MRl image data set (1) has been acquired, its distortion is determined by carrying out an image registration process for registering the acquired MRI image data set (1) to a previously available, less distorted or undistorted image data set (2) of substantially the same body region; - a transformation is determined from the image registration process; and - by applying the transformation to the MRI image data set (1), its distortion is corrected.
摘要翻译：本发明涉及一种用于校正MRI图像失真的方法，其中通过图形数据处理对身体区域的获取的MRI图像数据集（1）执行失真校正过程，其特征在于： - 在MR1图像数据已经获取了设置（1），其失真通过执行用于将获取的MRI图像数据集（1）登记到基本上相同的身体的先前可用的，较小失真的或未失真的图像数据集（2）的图像登记处理来确定地区; - 从图像注册过程确定转换; 并且通过将变换应用于MRI图像数据集（1），其失真被校正。

5. 发明申请

WO2020233823A1 METHOD, SYSTEM AND COMPUTER PROGRAM FOR DETERMINING POSITION AND/OR ORIENTATION PARAMETERS OF AN ANATOMICAL STRUCTURE 审中-公开
公开(公告)号：WO2020233823A1
公开(公告)日：2020-11-26
申请号：PCT/EP2019/063398
申请日：2019-05-23
申请人： BRAINLAB AG
发明人： LACHNER, Rainer , STEDELE, Katrin
IPC分类号： G06T7/12 , G06T7/149
摘要： Disclosed is a computer-implemented method of determining one or more position and/or orientation parameters of an anatomical structure of a body portion. The anatomical structure has a longitudinal shape defining a longitudinal axis. The method includes generating and/or reading, by a data processing system, volumetric data of at least a portion of a subject. The method further includes generating and/or reading, by the data processing system, a deformable template which provides an estimate for a location of the longitudinal axis in the portion of the subject. The method further includes matching, by the data processing system, the deformable template to the volumetric data, thereby obtaining a matched template. The matching comprises using one or more internal energy functions and one or more external energy functions for optimizing an objective function. The method further includes determining, by the data processing system, the at least one position and/or orientation parameter based on the matched template.

6. 发明申请

WO2017144107A1 ATLAS-BASED POSITION DETERMINATION OF A BRAIN SULCUS 审中-公开
标题翻译：基于ATLAS的脑部位置确定方法
公开(公告)号：WO2017144107A1
公开(公告)日：2017-08-31
申请号：PCT/EP2016/054024
申请日：2016-02-25
申请人： BRAINLAB AG
发明人： LACHNER, Rainer , FROMMERT, Mona
IPC分类号： G06T7/00
CPC分类号： G06T7/74 , G06T5/009 , G06T7/90 , G06T2207/10024 , G06T2207/10088 , G06T2207/20036 , G06T2207/20208 , G06T2207/20221 , G06T2207/30016
摘要： Disclosed is a computer-implemented medical data processing method for determining a position of a brain sulcus in the brain of a patient,the method comprising executing, on at least one processor of at least one computer, steps of: a)acquiring (S1), at the at least one processor, patient image data describing a digital medical image of at least part of the brain; b)acquiring (S2), at the at least one processor, atlas data describing an image- based model of the at least part of the brain; c) determining (S3), by the at least one processor and based on the patient image data and the atlas data, mapping data describing a transformation between the patient image data and the atlas data; d)determining (S4), by the at least one processor and based on the patient image data and the atlas data and the mapping data, sulcus position data describing the position of the brain sulcus in the digital medical image.
摘要翻译：公开了一种用于确定患者大脑中的脑沟位置的计算机实现的医学数据处理方法，该方法包括在至少一个计算机的至少一个处理器上执行步骤：a）在所述至少一个处理器处获取（S1）描述至少部分脑的数字医学图像的患者图像数据; b）在所述至少一个处理器处获取（S2）描述所述脑的所述至少一部分的基于图像的模型的图谱数据; c）由所述至少一个处理器并且基于所述患者图像数据和所述图谱数据来确定（S3）描绘所述患者图像数据和所述图谱数据之间的变换的映射数据; d）由至少一个处理器并且基于患者图像数据以及图谱数据和映射数据确定（S4）描述数字医学图像中的脑沟位置的沟位置数据。

7. 发明申请

WO2016041577A1 AUTO-CALIBRATION OF PROBABILISTIC TRACKING PARAMETERS FOR DTI FIBRE TRACTOGRAPHY AND COMPILATION OF TRACT PROBABILITY COMPARISON SCALES 审中-公开
标题翻译：自动校准用于DTI纤维TRACTOGRAPHY的概率跟踪参数和TRACT可比性比较尺度的编译
公开(公告)号：WO2016041577A1
公开(公告)日：2016-03-24
申请号：PCT/EP2014/069697
申请日：2014-09-16
申请人： BRAINLAB AG
发明人： VÁRKUTI, Bálint , LACHNER, Rainer
IPC分类号： G06T7/00
CPC分类号： G06T7/75 , A61B5/0042 , A61B5/055 , A61B5/4064 , A61B2576/026 , G01R33/4806 , G06T7/0014 , G06T7/11 , G06T7/143 , G06T7/149 , G06T7/251 , G06T7/60 , G06T2207/10092 , G06T2207/20076 , G06T2207/20128 , G06T2207/20156 , G06T2207/20221 , G06T2207/30016 , G06T2207/30024 , G06T2207/30241 , G06T2210/41
摘要： 1. A medical data processing method of determining information describing the probable position of a neural fibre in a patient's brain, the method comprising the following steps which are constituted to be executed by a computer: a) acquiring patient-specific medical image data describing the brain of the patient; b) acquiring atlas data defining an image-based model of a human brain; c) determining, based on the patient-specific medical image data and the atlas data, seed region data describing seed regions (A, B) in the patient-specific medical image data in which the ends of neural fibres of the patient's brain may be located; d) determining, based on the patient-specific medical image data and the seed region data, neural fibre tract data describing a plurality of potential tracts (T1, T2, T3) which a specific neural fibre may take through the patient's brain; e) determining, based on the atlas data and the neural fibre tract data, a figure of merit for each one of the potential tracts (T1, T2, T3).
摘要翻译： 1.一种确定描述患者大脑中的神经纤维的可能位置的信息的医学数据处理方法，所述方法包括以下步骤，其被构造为由计算机执行：a）获取描述所述神经纤维的患者特异性医学图像数据，患者的大脑; b）获取定义人脑图像的模型的图谱数据; c）基于患者特异性医学图像数据和图谱数据确定描述患者特定医学图像数据中的种子区域（A，B）的种子区域数据，其中患者大脑的神经纤维的末端可以是位于; d）基于患者特异性医学图像数据和种子区域数据确定描述特定神经纤维可能穿过患者大脑的多个潜在束（T1，T2，T3）的神经纤维道数据; e）基于图集数据和神经纤维道数据，确定每个潜在束（T1，T2，T3）的品质因数。

8. 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）。

9. 发明申请

WO2015067300A1 DETERMINATION OF ENHANCING STRUCTURES IN AN ANATOMICAL BODY PART 审中-公开
标题翻译：解剖结构在解剖部位的确定
公开(公告)号：WO2015067300A1
公开(公告)日：2015-05-14
申请号：PCT/EP2013/073053
申请日：2013-11-05
申请人： BRAINLAB AG
发明人： LACHNER, Rainer , THOMSON, Rowena , SLADKY, Christina
IPC分类号： G06T7/00
CPC分类号： G16H30/40 , G06T5/002 , G06T5/20 , G06T7/001 , G06T7/0012 , G06T7/11 , G06T7/136 , G06T7/174 , G06T7/187 , G06T7/60 , G06T2207/10096 , G06T2207/20128 , G06T2207/20156 , G06T2207/20224 , G06T2207/30016 , G06T2207/30096
摘要： A data processing method for determining an enhancing structure of interest within an anatomical body part, wherein the structure of interest exhibits an enhanced signal in an image of the anatomical body part generated by a medical imaging method using a contrast agent, said method being designed to be performed by a computer and comprising a region growing algorithm.
摘要翻译：一种用于确定解剖体部分内感兴趣的增强结构的数据处理方法，其中感兴趣的结构在通过使用造影剂的医学成像方法产生的解剖体部分的图像中呈现增强的信号，所述方法被设计为由计算机执行并且包括区域增长算法。

10. 发明申请

WO2015003732A1 IDENTIFICATION METHOD BASED ON CONNECTIVITY PROFILES 审中-公开
标题翻译：基于连通性配置文件的识别方法
公开(公告)号：WO2015003732A1
公开(公告)日：2015-01-15
申请号：PCT/EP2013/064371
申请日：2013-07-08
申请人： BRAINLAB AG
发明人： VÁRKUTI, Bálint , LACHNER, Rainer
IPC分类号： G06T7/00
CPC分类号： G06K9/00885 , G06K9/4638 , G06K9/6232 , G06K9/627 , G06K9/6277 , G06K2009/00932 , G06T7/11 , G06T7/187 , G06T2207/10092 , G06T2207/20076 , G06T2207/20081 , G06T2207/30016
摘要： The present invention relates to a medical data processing method for identifying an entity of the nervous system, in particular the brain, of a patient, wherein the method is designed to be executed by a computer and comprises the following steps: a) acquiring target connectivity data comprising target connectivity information about the probability of a target entity being connected to other entities of the nervous system; b) acquiring candidate connectivity data comprising candidate connectivity information about the probability of at least one candidate entity being connected to other entities of the nervous system; and c) determining similarity data for each of the at least one candidate entities on the basis of the candidate connectivity data and the target connectivity data, wherein the similarity data comprise similarity information about the similarity between the candidate entity and the target entity.
摘要翻译：本发明涉及一种用于识别患者的神经系统，特别是大脑的实体的医疗数据处理方法，其中该方法被设计为由计算机执行，并且包括以下步骤：a）获取目标连接包括关于目标实体连接到神经系统的其他实体的概率的目标连接性信息的数据; b）获取候选连接数据，其包括关于至少一个候选实体连接到神经系统的其他实体的概率的候选连接性信息; 以及c）基于所述候选连接性数据和所述目标连通性数据确定所述至少一个候选实体中的每一个的相似性数据，其中所述相似性数据包括关于所述候选实体和所述目标实体之间的相似性的相似性信息。

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