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    • 1. 发明申请
    • DETERMINATION OF A PHYSICALLY-VARYING ANATOMICAL STRUCTURE
    • 物理变化解剖结构的确定
    • WO2012155964A1
    • 2012-11-22
    • PCT/EP2011/057972
    • 2011-05-17
    • BRAINLAB AGTHOMSON, RowenaMITTERMEYER, StephanLACHNER, Rainer
    • THOMSON, RowenaMITTERMEYER, StephanLACHNER, Rainer
    • G06T7/00G06T7/20
    • G06T7/0012A61B5/061G06T5/50G06T7/0016G06T7/215G06T7/97G06T2207/30016G06T2207/30096
    • 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.
    • 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。
    • 2. 发明申请
    • LONGITUDINAL MONITORING OF PATHOLOGY
    • 病理学纵向监测
    • WO2012072129A8
    • 2012-08-16
    • PCT/EP2010068645
    • 2010-12-01
    • BRAINLAB AGTHOMSON ROWENALACHNER RAINER
    • THOMSON ROWENALACHNER RAINER
    • G06T7/00
    • G06T7/0012G06T7/11G06T7/143G06T2207/30016
    • 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.
    • 本发明涉及一种用于处理包括关于患者的身体区域的图像信息的图像数据的方法,该方法至少部分地由电子数据处理装置执行,并且包括以下步骤:d)提供图像数据; e)为图像信息的元素分配包含在表示预定组织类别的相应元素中的图像信息的预定概率,其中预定概率独立于关于身体的至少一部分的信息而提供,所述信息不同于 病人的身体; f)基于所述预定概率并针对包括多个所述元素的图像信息的子集,确定所述子集中表示元素特异性组织类别的各个元素的元素特定概率。
    • 4. 发明申请
    • LOCALIZATION OF FIBROUS NEURAL STRUCTURES
    • 纤维神经结构局部化
    • WO2014023350A1
    • 2014-02-13
    • PCT/EP2012/065567
    • 2012-08-09
    • BRAINLAB AGLACHNER, RainerBLUMHOFER, Andreas
    • LACHNER, RainerBLUMHOFER, Andreas
    • G06T7/00
    • A61B5/055A61B5/4893A61B5/7275G06F19/00G06F19/34G06T7/11G06T2207/10092G06T2207/20128G06T2207/30016
    • 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.
    • 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。
    • 5. 发明申请
    • LONGITUDINAL MONITORING OF PATHOLOGY
    • 纵向监测病理学
    • WO2012072129A1
    • 2012-06-07
    • PCT/EP2010/068645
    • 2010-12-01
    • BrainLAB AGTHOMSON, RowenaLACHNER, Rainer
    • THOMSON, RowenaLACHNER, Rainer
    • G06T7/00
    • G06T7/0012G06T7/11G06T7/143G06T2207/30016
    • 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.
    • 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。