Computer-aided diagnosis workstation and network system for chest diagnosis based on multislice CT images

Hitoshi Satoh; Noboru Niki; Kiyoshi Mori; Kenji Eguchi M.D.; Masahiro Kaneko; Ryutarou Kakinuma; Noriyuki Moriyama; Hironobu Ohmatsu; Hideo Masuda; Suguru Machida

doi:10.1117/12.708943

30 March 2007 Computer-aided diagnosis workstation and network system for chest diagnosis based on multislice CT images

Hitoshi Satoh, Noboru Niki, Kiyoshi Mori, Kenji Eguchi M.D., Masahiro Kaneko, Ryutarou Kakinuma, Noriyuki Moriyama, Hironobu Ohmatsu, Hideo Masuda, Suguru Machida

Author Affiliations +

Proceedings Volume 6516, Medical Imaging 2007: PACS and Imaging Informatics; 65161E (2007) https://doi.org/10.1117/12.708943
Event: Medical Imaging, 2007, San Diego, CA, United States

Abstract

Multislice CT scanner advanced remarkably at the speed at which the chest CT images were acquired for mass screening. Mass screening based on multislice 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. Moreover, we have provided diagnostic assistance methods to medical screening specialists by using a lung cancer screening algorithm built into mobile helical CT scanner for the lung cancer mass screening done in the region without the hospital. 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 and Biometric fingerprint authentication system and Biometric face authentication system for safety of medical information. 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 Satoh, Noboru Niki, Kiyoshi Mori, Kenji Eguchi M.D., Masahiro Kaneko, Ryutarou Kakinuma, Noriyuki Moriyama, Hironobu Ohmatsu, Hideo Masuda, and Suguru Machida "Computer-aided diagnosis workstation and network system for chest diagnosis based on multislice CT images", Proc. SPIE 6516, Medical Imaging 2007: PACS and Imaging Informatics, 65161E (30 March 2007); https://doi.org/10.1117/12.708943

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