基于CT图像的肺结节三维多尺度块LBP滤波器增强

Fan Xu, Wen-Jing Zhang, Xin-Yue Li, Hu Xiao, Shao-Hu Peng, H. Nam, M. Zhang
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引用次数: 6

摘要

计算机辅助诊断(CAD)系统可以极大地影响x线片和计算机断层扫描(CT)图像对肺癌的早期发现。而自动结节检测在CAD系统中起着重要的作用。本文提出了一种新的增强滤波器(3D多尺度块LBP滤波器)来检测肺区域的结节。该滤波器利用结节区域的像素值特征和形状特征,增强了结节区域,抑制了线状区域和边缘区域。在此基础上,应用积分图像技术(IIT)提高了滤波器的处理速度。实验结果表明,该滤波器可以提高检测精度,减少误报。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A 3D multi-scale Block LBP Filter for lung nodule enhancement based on the CT images
The computer-aided diagnostic (CAD) system can greatly influence the early detection of lung cancer in radiographs and computed tomography (CT) images. And the automatic nodule detection plays an important role in the CAD systems. This paper proposed a new enhancement filter (3D multi-scale Block LBP Filter) to detect the nodules in the lung regions. By taking advantages of the nodule regions' pixel value characteristics and shape features, the proposed filter is able to enhance the nodule-like regions and restrain the line-like regions and edge regions. Moreover, Integral Image Technique (IIT) is applied accelerate the processing speed of the filter. Experimental results showed that the proposed filter can improve the accuracy and reduce the false positive.
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