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    • 2. 发明申请
    • Determining a Three-dimensional Model Dataset of a Blood Vessel System with at least One Vessel Segment
    • 确定具有至少一个血管段的血管系统的三维模型数据集
    • US20160012636A1
    • 2016-01-14
    • US14789413
    • 2015-07-01
    • Günter LauritschThomas RedelChristopher RohkohlMichael Scheuering
    • Günter LauritschThomas RedelChristopher RohkohlMichael Scheuering
    • G06T17/10A61B6/03A61B6/00G06T11/60
    • A61B6/504A61B6/032A61B6/4441A61B6/5205A61B6/5288A61B6/5294G06T11/60G06T17/00G06T2200/04G06T2210/41
    • A three-dimensional model dataset of a blood vessel system of a patient including at least one the vessel system is determined from a number of projection images, which have been recorded from different recording angles, of the blood vessel system The projection images are divided up into image areas each containing at least one pixel. A feature vector is determined for each of the image areas. Classification information, which describes how the respective image area belongs or does not belong to a vessel segment of the blood vessel system defined in accordance with anatomical specification data, is defined for each of the image areas by applying a classification function to the feature vector assigned to the image area. The classification function has been trained by training data records annotated with classification information obtained from at least one person other than the patient. The blood vessel system in the projection images is segmented by grouping image areas with the same classification information. The three-dimensional model dataset is calculated as a function of the segmented projection images and the classification information.
    • 包括至少一个血管系统的患者的血管系统的三维模型数据集是从血管系统的不同记录角度记录的多个投影图像确定的。将投影图像分割 到每个包含至少一个像素的图像区域中。 为每个图像区域确定特征向量。 通过对分配的特征矢量应用分类函数,对每个图像区域分别描述各个图像区域属于或不属于根据解剖规范数据定义的血管系统的血管段的分类信息 到图像区域。 分类功能已经通过训练用从患者以外的至少一个人获得的分类信息注释的数据记录来训练。 投影图像中的血管系统通过对具有相同分类信息的图像区域进行分组。 三维模型数据集被计算为分段投影图像和分类信息的函数。