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    • 55. 发明申请
    • Method and apparatus for visualization of 2D/3D fused image data for catheter angiography
    • 用于导管血管造影2D / 3D融合图像数据可视化的方法和装置
    • US20050015006A1
    • 2005-01-20
    • US10860707
    • 2004-06-03
    • Matthias MitschkeNorbert RahnDieter RitterMichael Scheuering
    • Matthias MitschkeNorbert RahnDieter RitterMichael Scheuering
    • A61B6/00A61B6/12G06T7/00G06T11/00A61B5/05G06K9/00
    • A61B6/5235A61B6/12A61B6/466A61B6/481A61B6/504G06T7/33G06T2207/30048
    • In an image post-processing method and apparatus for 3D visualization of 2D/3D fused image data for use in catheter angiography in an endovascular interventional procedure, upon forward movement of a micro-catheter through blood vessel in the interventional procedure, x-ray images are acquired from different projection directions and are subjected to a pattern recognition algorithm for edge-based segmentation of the image regions filled by the micro-catheter, with all remaining image regions being masked out. The segmented projection exposures are prepared by a 3D reconstruction algorithm to obtain an image data set for (pseudo-) three-dimensional representation of the micro-catheter. This image data set are intraoperatively registered and fused with an image data set acquired from an angiographic pre-examination for three-dimensional visualization of the vessel topography. The reconstructed 3D representation of the catheter is mixed into the three-dimensionally prepared representation of endovascular blood vessel sections to be treated.
    • 在用于血管内介入手术的导管血管造影术中的2D / 3D融合图像数据的3D可视化的图像后处理方法和装置中,在介入手术中通过血管向前移动微导管时,x射线图像 从不同的投影方向获取,并且经受用于由微导管填充的图像区域的基于边缘的分割的图案识别算法,其中所有剩余的图像区域被掩蔽。 通过3D重建算法准备分段投影曝光以获得微导管的(伪)三维表示的图像数据集。 该图像数据集在术中注册并与从血管造影检查获取的图像数据集合融合,用于血管形态的三维可视化。 导管的重建3D表示被混合到待治疗的血管内血管切片的三维制备的表示中。
    • 58. 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。