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Method for determining a three-dimensional model data set of a blood vessel system comprising at least one vessel segment

机译:用于确定包括至少一个血管段的血管系统的三维模型数据集的方法

摘要

Method for determining a three-dimensional model data set of a blood vessel system of a patient comprising at least one vascular segment from a plurality of projection images of the blood vessel system, which were recorded at different imaging angles, comprising the steps of: a) dividing the projection images into image areas comprising at least one pixel each, b) determining a feature vector, for each of the image regions, c) determining a classification information that defines a membership of the respective image region to a according to anatomical default data, in particular according to an anatomical atlas defined at least the image data of at least the image area associated with the feature vector and / or in accordance with this image data Vascular segment of the blood vessel system or a non-affiliation to the blood vessel system describes, for each of the image areas by applying a classification function on the feature vector associated with the image area, the classification function being trained by training data records annotated with classification information on at least one person, d) segmenting the blood vessel system in the projection images by grouping image areas with the same classification information, e) calculating the three-dimensional model data set depending on the segmented projection images and the classification information.
机译:用于确定患者的血管系统的三维模型数据集的方法,该三维模型数据集包括来自多个血管系统的投影图像的至少一个血管段,这些血管图像以不同的成像角度记录,包括以下步骤: )将投影图像划分为每个图像区域,每个图像区域至少包含一个像素,b)为每个图像区域确定特征向量,c)根据解剖默认将确定各个图像区域的隶属关系的分类信息确定为数据,尤其是根据解剖图谱定义的图像数据,至少是与特征向量关联的至少图像区域的图像数据,和/或根据此图像数据,血管系统的血管段或与血液无关血管系统通过在与图像区域关联的特征向量上应用分类函数,针对每个图像区域描述分类f由训练数据记录对至少一个人进行分类的训练功能,d)通过将具有相同分类信息的图像区域分组来对投影图像中的血管系统进行分割,e)根据以下内容计算三维模型数据集分割后的投影图像和分类信息。

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