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12 May 2004 Nodule detection algorithm based on multislice CT images for lung cancer screening
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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.
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Shinsuke Saita, Tomokazu Oda, Mitsuru Kubo, Yoshiki Kawata, Noboru Niki, Michizou Sasagawa, Hironobu Ohmatsu, Ryutaro Kakinuma, Masahiro Kaneko, Masahiro Kusumoto, Kenji Eguchi, Hiroyuki Nishiyama, Kiyoshi Mori, and Noriyuki Moriyama "Nodule detection algorithm based on multislice CT images for lung cancer screening", Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004);

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