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Directional edge registration for temporal chest image subtraction

机译:方向性边缘配准,用于颞部胸腔图像减影

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We used a directional filtering technique to accurately register the ribs on temporal chest radiographs. Rib registration was the primary technical objective. In order to accurately extract the ribs, we developed a directional edge function that used rotating kernels through a dynamic search technique to extract rib edges of varying contrast. A directionally-weighted operator with a phase-contrast feature is embedded in the kernel design, which allows us to separate the upper and lower bounds of structures in the vertical direction. Broken rib edges were reconnected using a reasoning algorithm by analyzing the rib position and curve. The lung and heart boundaries were extracted using an inverted umbrella filter. Control points were designated at turning points and distributed on smooth edge segments on the temporal images. A thin-plate spline technique took the control points and performed the final registration prior to the temporal image subtraction. We found that normal chest structures (i.e. ribs, heart and normal lung structures) were greatly reduced in the subtraction images. In addition, the contrast of cancer spots was significantly increased.
机译:我们使用了方向性过滤技术,以准确地在颞部胸部X光片上记录肋骨。肋骨注册是主要的技术目标。为了准确地提取肋骨,我们开发了一种定向边缘函数,该函数通过动态搜索技术使用旋转核仁来提取对比度不同的肋骨边缘。具有相位对比功能的方向加权运算符嵌入到内核设计中,这使我们能够在垂直方向上分离结构的上下边界。通过分析肋骨位置和曲线,使用推理算法重新连接断裂的肋骨边缘。使用倒伞过滤器提取肺和心脏边界。控制点指定在转折点,并分布在时间图像的平滑边缘段上。薄板样条技术获取了控制点,并在进行时间图像减法之前执行了最终配准。我们发现,在减影图像中,正常的胸部结构(即肋骨,心脏和正常的肺部结构)大大减少了。另外,癌斑的对比度显着增加。

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