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首页> 外文期刊>Sensor Letters: A Journal Dedicated to all Aspects of Sensors in Science, Engineering, and Medicine >Detection of Lung Vessel Image by Using CT Sensor-Array-Signal Processing Technique
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Detection of Lung Vessel Image by Using CT Sensor-Array-Signal Processing Technique

机译：CT传感器阵列信号处理技术检测肺血管图像

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摘要

Lung vessel detection has been an important and difficult work, therefore, a new 3D lung vessel detection scheme based on CT sensor-array signal is proposed in this paper. Existing active contour models only contain image region or object edge property, but this scheme can combine them simultaneously. Firstly, it locate interior and exterior homogeneous region of vessel. Secondly, in order to converge to vessel edge accurately, it make surface evolve along the second order derivative in the image gradient direction. Thirdly, based on the above steps, the geometric model is constructed. Finally, the scheme employ level set method for solving the energy optimization problem. The test results on multiple-series lung CT image show that this scheme is accurate and fast and has high adaptability to background noise.
机译：肺血管检测一直是一项重要而艰巨的工作，因此，本文提出了一种基于CT传感器阵列信号的3D肺血管检测新方案。现有的活动轮廓模型仅包含图像区域或对象边缘属性，但是此方案可以将它们同时组合。首先，它定位容器的内部和外部均匀区域。其次，为了精确地收敛到血管边缘，使表面沿图像梯度方向沿二阶导数演化。第三，基于以上步骤，构建了几何模型。最后，该方案采用水平集方法来解决能量优化问题。在多系列肺部CT图像上的测试结果表明，该方案准确，快速，对背景噪声适应性强。

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