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Semi-automatic aortic endograft localisation for post-operative evaluation of endovascular aneurysm treatment

机译:半自动主动脉内传递定位,用于血管内动脉瘤治疗的疗效评估

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A semi-automatic method for localisation and segmentation of bifurcated aortic endografts in CTA images is presented. The graft position is established through detection of radiopaque markers sewn on the outside of the graft. The user indicates the first and the last marker, whereupon the rest of the markers are detected automatically by second order scaled derivative analysis combined with prior knowledge of graft shape and marker configuration. The marker centres obtained approximate the graft sides and central axis. The graft boundary is determined, either in the original CT slices or in reformatted slices orthogonal to the local graft axis, by maximizing the local gradient in the radial direction along a deformable contour passing through both sides. The method has been applied to ten CTA images. In all cases, an adequate segmentation is obtained. Compared to manual segmentations an average similarity (i.e. relative volume of overlap) of 0.93 ± 0.02 for the graft body and 0.84 ± 0.05 for the limbs is found.
机译:介绍了CTA图像中分叉主动脉内移植物的定位和分段的半自动方法。通过检测移植物外侧缝制的无线电泛值标记来建立移植位置。用户指示第一和最后一个标记,于是通过二阶缩放衍生物分析自动检测标记的其余标记,与移植物形状和标记配置的先验知识相结合。获得的标记中心近似接枝侧和中心轴。通过沿着通过两侧的可变形轮廓在径向方向上最大化局部梯度,确定移植边界或以垂直于局部移植轴的重新交流的切片确定。该方法已应用于十个CTA图像。在所有情况下,获得了足够的分割。与手动分割相比,接枝体的平均相似性(即重叠的相对体积)为0.93±0.02,并发现肢体的0.84±0.05。

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