Paper Abstract and Keywords |
Presentation |
2009-01-20 14:30
[Poster Presentation]
Classification algorithm lobe for multi-slice CT images Hirohisa Sasada, Mikio Matsuhiro, Shinsuke Saita, Mitsuru Kubo, Yoshiki Kawata, Noboru Niki (Tokushima Univ), Yasutaka Nakano (Dept.of Respiratory Medicine, Shiga Univ of Medical Scienc), Tuyosi Oguma, Hisako Matumoto, Akio Niimi (Kyoto Univ), Hiromu Nishitani (Tokushima Univ), Hironobu Ohmatsu (National Cancer Hospital), Kenji Eguchi (Teikyo Univ), Masahiro Kaneko (National Cancer Center Hospital), Noriyuki Moriyama (National Cancer Research Center for Cancer) MI2008-144 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Recently, due to the introduction of multi-slice CT, to obtain a high resolution 3D CT image is possible in a short time. The temporal and spatial resolutions are high, so a highly accurate 3D image analysis is possible. To develop a structure analysis of the lung is needed and to be used as a fundamental technology for early detection of the disease. By separating the lung into lung lobes may provide important information for analysis, diagnosis and treatment of lung diseases. Therefore in this study, using the pulmonary vein and interlobar fissure information, we adapted algorithm to classify the lung field into lung into lung lobes a case of the bronchial asthma of inspiration and expiration, and then we evaluated the classification. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Multi-slice CT image / lung lobe / interlobar fissure / inspiration / expiration / / / |
Reference Info. |
IEICE Tech. Rep., vol. 108, no. 385, MI2008-144, pp. 387-389, Jan. 2009. |
Paper # |
MI2008-144 |
Date of Issue |
2009-01-12 (MI) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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MI2008-144 |
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