Computer-aided diagnosis system for lung cancer based on retrospective helical CT image
Computer-aided diagnosis system for lung cancer based on retrospective helical CT image
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基于回顾性螺旋CT图像的肺癌计算机辅助诊断系统
DOI：
10.1117/12.387607
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发表时间：
1999
期刊：
影响因子：
--
通讯作者：
N. Moriyama
中科院分区：
文献类型：
--
作者：
Y. Ukai;N. Niki;H. Satoh;K. Eguchi;K. Mori;H. Ohmatsu;R. Kakinuma;M. Kaneko;N. Moriyama
在本文中，我们提出了一个计算机辅助诊断（CAD）系统肺癌检测结节候选人在早期阶段从现在和早期螺旋CT筛查胸部。我们开发了一种算法，可以自动比较当前和早期CT扫描的切片图像，以辅助回顾性比较阅读。该算法包括感兴趣区域检测和形状分析的基础上比较的每一个切片图像在当前和早期的CT扫描。对CT扫描的断层图像进行并行显示和定量分析，以检测其大小和强度的变化。我们验证了该算法的效率，通过应用到图像数据的大规模筛选的50个主题（共：150 CT扫描）。该算法可以正确地比较切片图像在大多数组合相对于医生的观点。我们使用CAD系统验证了自动检测肺结节候选者的算法的效率。该系统应用于450例受试者的螺旋CT图像。目前，我们正在使用CAD系统进行临床现场测试计划。我们的CAD系统的结果表明良好的性能相比，医生的诊断。该算法的实验结果表明，我们的CAD系统是有用的，以提高质量筛选过程的效率。将使用CAD系统进行胸部CT筛查，作为临床CT筛查程序中实际使用的双阅读技术的对应物，而不是使用胶片显示。
In this paper, we present a computer-aided diagnosis (CAD) system for lung cancer to detect nodule candidates at an early stage from the present and the early helical CT screening of the thorax. We developed an algorithm that can compare automatically the slice images of present and early CT scans for the assistance of comparative reading in retrospect. The algorithm consists of the ROI detection and shape analysis based on comparison of each slice image in the present and the early CT scans. The slice images of present and early CT scans are both displayed in parallel and analyzed quantitatively in order to detect the changes in size and intensity affection. We validated the efficiency of this algorithm by application to image data for mass screening of 50 subjects (total: 150 CT scans). The algorithm could compare the slice images correctly in most combinations with respect to physician's point of view. We validated the efficiency of the algorithm which automatically detect lung nodule candidates using CAD system. The system was applied to the helical CT images of 450 subjects. Currently, we are carrying out the clinical field test program using the CAD system. The results of our CAD system have indicated good performance when compared with physician's diagnosis. The experimental results of the algorithm indicate that our CAD system is useful to increase the efficiency of the mass screening process. CT screening of thorax will be performed by using the CAD system as a counterpart to the double reading technique actually used in herical CT screening program, not by using the film display.