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14 March 2009 Bronchial wall region extraction algorithm using multi-slice CT images
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Proceedings Volume 7258, Medical Imaging 2009: Physics of Medical Imaging; 72582J (2009)
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States
As multi-slice CT develops, there are great expectations for an automatic and computer-support diagnoses. This research is on bronchial area which is composed of the bronchial wall regions and the air regions in the internal bronchial tube. Since to diagnose this is difficult, support diagnosis using CT images is desired. The thickness of bronchial wall changes as the airway of early lung cancer, bronchial asthma and the bronchial enhancing syndrome and others change into a malignant state. These changes are detected and the thickness of bronchial wall becomes important information. In this research, the extraction accuracy of the algorithm for bronchial wall evaluation is good.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kengo Akashi, Shinsuke Saita, Mitsuru Kubo, Yoshiki Kawata, Noboru Niki, Yasutaka Nakano, Akio Niimi, Hisako Matsumoto, Tsuyoshi Oguma, Yuichi Takiguchi, Naoko Kawata, Nobuhiro Tanabe, Hironobu Ohmatsu, Kenji Eguchi, Masahiro Kaneko, and Noriyuki Moriyama "Bronchial wall region extraction algorithm using multi-slice CT images", Proc. SPIE 7258, Medical Imaging 2009: Physics of Medical Imaging, 72582J (14 March 2009);

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