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12 May 2004 An extraction algorithm of pulmonary fissures from multislice CT image
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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 lesions, and leads the early detection. For clinical decision, lung lesion diagnosis requires the lung area detection. Pulmonary fissure part is one of important organs to identify lung area. This paper presents an algorithm of accuracy and automatic pulmonary extraction fissure based on the search area specification of pulmonary fissure, and accuracy pulmonary fissure extraction effectiveness of low-dose and high resolution multi-slice CT image. The usefulness of the proposed algorithm is demonstrated by using twenty clinical data sets.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shinsuke Saita, Motokatsu Yasutomo, Mitsuru Kubo, Yoshiki Kawata, Noboru Niki, Kenji Eguchi, Hironobu Ohmatsu, Ryutaro Kakinuma, Masahiro Kaneko, Masahiro Kusumoto, Noriyuki Moriyama, and Michizou Sasagawa "An extraction algorithm of pulmonary fissures from multislice CT image", Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004);

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