Nodule detection algorithm based on multislice CT images for lung cancer screening
Nodule detection algorithm based on multislice CT images for lung cancer screening
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DOI：
10.1117/12.534826
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发表时间：
2004-05
期刊：
影响因子：
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通讯作者：
S. Saita;T. Oda;M. Kubo;Y. Kawata;N. Niki;M. Sasagawa;H. Ohmatsu;R. Kakinuma;M. Kaneko;M. Kusumoto;K. Eguchi;H. Nishiyama;K. Mori;N. Moriyama
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文献类型：
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作者：
S. Saita;T. Oda;M. Kubo;Y. Kawata;N. Niki;M. Sasagawa;H. Ohmatsu;R. Kakinuma;M. Kaneko;M. Kusumoto;K. Eguchi;H. Nishiyama;K. Mori;N. Moriyama
Recently, the development of multi-row multi-slice CT scanner proves precise measure of whole lung area in short time period. The CT scanner improves spatial resolution along z-axis and time resolution. Therefore, this CT image is effective for diagnosis of lung cancer as well as the other lung lesion, and leads the early detection. The development of a diagnosis support system is expected to diagnose these images. So far, we have developed a computer-aided diagnosis (CAD) system to automatically detect suspicious regions based on helical CT image. However, the algorithm isn't enough in multi-slice CT images because of two-dimensional algorithm and un-recognizing of the chest structure. This paper presents an algorithm of nodules detection using the three-dimensional (3-D) algorithm and recognizing of the chest structure based on multi-slice CT images, and we show the validity of detection algorithm of isolated nodules using 286 data sets.
