15 April 2005 Computer-aided diagnosis workstation for chest diagnosis based on multihelical CT images
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Abstract
Mass screening based on helical CT images requires a considerable number of images to be read. It is this time-consuming step that makes the use of helical CT for mass screening impractical at present. To overcome this problem, we have provided diagnostic assistance methods to medical screening specialists by developing a lung cancer screening algorithm that automatically detects suspected lung cancers in helical CT images and a coronary artery calcification screening algorithm that automatically detects suspected coronary artery calcification. We also have developed electronic medical recording system and prototype internet system for the community health in two or more regions by using the Virtual Private Network router. This electronic medical recording system and prototype internet system were developed so as not to loosen the communication among staffs of hospital. Based on these diagnostic assistance methods, we have now developed a new computer-aided workstation and database that can display suspected lesions three-dimensionally in a short time. This paper describes basic studies that have been conducted to evaluate this new system.
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Hitoshi Sato, Hitoshi Sato, Noboru Niki, Noboru Niki, Kiyoshi Mori, Kiyoshi Mori, Kenji Eguchi, Kenji Eguchi, Masahiro Kaneko, Masahiro Kaneko, Ryutarou Kakinuma, Ryutarou Kakinuma, Noriyuki Moriyama, Noriyuki Moriyama, Hironobu Ohmatsu, Hironobu Ohmatsu, Hideo Masuda, Hideo Masuda, Suguru Machida, Suguru Machida, Michizou Sasagawa, Michizou Sasagawa, } "Computer-aided diagnosis workstation for chest diagnosis based on multihelical CT images", Proc. SPIE 5748, Medical Imaging 2005: PACS and Imaging Informatics, (15 April 2005); doi: 10.1117/12.595158; https://doi.org/10.1117/12.595158
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