Automatic detection of lung cancers in chest CT images by variable N-Quoit filter
Automatic detection of lung cancers in chest CT images by variable N-Quoit filter
复制标题
通过可变 N-Quoit 滤波器自动检测胸部 CT 图像中的肺癌
DOI：
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发表时间：
1998
期刊：
影响因子：
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通讯作者：
Toru Matsumoto
中科院分区：
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作者：
T. Okumura;Tomoko Miwa;Jun;Shinji Yamamoto;M. Matsumoto;Y. Tateno;T. Iinuma;Toru Matsumoto
本文报告了用于计算机辅助诊断的肺癌CT筛查系统（LSCT）的图像处理技术。LSCT是一种用于肺癌大规模筛查的移动式CT扫描仪。在该LSCT系统中，一个基本问题是要由医生诊断的图像信息从1张X射线胶片增加到每个患者约30个切片。为了解决这一难题，我们正试图通过图像处理技术大幅减少要显示给医生的图像信息。我们提出了一种新的方法命名为可变新Quoit过滤器的自动识别的病理阴影候选人。我们的计算机辅助诊断（CAD）系统可以令人满意地减少CT横截面的数量，通过这种方法，包含异常阴影的候选人。
We report the image processing technique for computer-aided diagnosis of the lung cancer screening system by CT (LSCT). LSCT is a mobile-type CT scanner for the mass screening of lung cancer. In this LSCT system, one essential problem is the increase of image information to be diagnosed by a doctor to about 30 slices per patient from 1 X-ray film. To solve this difficult problem, we are trying to reduce the image information drastically to be displayed for the doctor by image processing techniques. We propose a new method named variable new-Quoit filter for the automatic recognition of the pathological shadow candidates. Our computer aided diagnosis (CAD) system can satisfactorily reduce the number of CT cross sections by this method, containing the abnormal shadow candidates.