方向边缘配准用于时间胸部图像减法

Hui Zhao, S. Lo, M. Freedman
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引用次数: 3

摘要

我们使用定向滤波技术在颞骨胸片上准确定位肋骨。肋骨注册是主要的技术目标。为了准确提取肋骨,我们开发了一种定向边缘函数,该函数使用旋转核,通过动态搜索技术提取不同对比度的肋骨边缘。在核设计中嵌入了一个具有相衬特征的方向加权算子,使我们能够在垂直方向上分离结构的上下界。通过对肋骨位置和曲线的分析,采用推理算法对断裂的肋骨边缘进行重新连接。肺和心脏的边界是用倒伞过滤器提取的。控制点被指定在拐点处,并分布在时域图像的光滑边缘段上。薄板样条技术取控制点并在时间图像减法之前进行最终配准。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)被大大减少。此外,癌灶的对比也明显增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Directional edge registration for temporal chest image subtraction
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.
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