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

Hitoshi Satoh; Noboru Niki; Kenji Eguchi M.D.; Noriyuki Moriyama; Hironobu Ohmatsu M.D.; Hideo Masuda; Suguru Machida

doi:10.1117/12.770770

11 March 2008 Computer-aided diagnosis workstation and network system for chest diagnosis based on multislice CT images

Hitoshi Satoh, Noboru Niki, Kenji Eguchi M.D., Noriyuki Moriyama, Hironobu Ohmatsu M.D., Hideo Masuda, Suguru Machida

Proceedings Volume 6919, Medical Imaging 2008: PACS and Imaging Informatics; 691916 (2008) https://doi.org/10.1117/12.770770
Event: Medical Imaging, 2008, San Diego, California, United States

Abstract

Mass screening based on multi-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, a coronary artery calcification screening algorithm that automatically detects suspected coronary artery calcification and a vertebra body analysis algorithm for quantitative evaluation of osteoporosis likelihood by using helical CT scanner for the lung cancer mass screening. The function to observe suspicious shadow in detail are provided in computer-aided diagnosis workstation with these screening algorithms. We also have developed the telemedicine network by using Web medical image conference system with the security improvement of images transmission, Biometric fingerprint authentication system and Biometric face authentication system. Biometric face authentication used on site of telemedicine makes "Encryption of file" and Success in login" effective. As a result, patients' private information is protected. Based on these diagnostic assistance methods, we have developed a new computer-aided workstation and a new telemedicine network that can display suspected lesions three-dimensionally in a short time. The results of this study indicate that our radiological information system without film by using computer-aided diagnosis workstation and our telemedicine network system can increase diagnostic speed, diagnostic accuracy and security improvement of medical information.

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Hitoshi Satoh, Noboru Niki, Kenji Eguchi M.D., Noriyuki Moriyama, Hironobu Ohmatsu M.D., Hideo Masuda, and Suguru Machida "Computer-aided diagnosis workstation and network system for chest diagnosis based on multislice CT images", Proc. SPIE 6919, Medical Imaging 2008: PACS and Imaging Informatics, 691916 (11 March 2008); https://doi.org/10.1117/12.770770

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KEYWORDS

Computed tomography

Lung cancer

Computer aided diagnosis and therapy

Biometrics

Arteries

Computing systems

Diagnostics

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