16 March 2006 Network-based reading system for lung cancer screening CT
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Proceedings Volume 6145, Medical Imaging 2006: PACS and Imaging Informatics; 614505 (2006); doi: 10.1117/12.653019
Event: Medical Imaging, 2006, San Diego, California, United States
Abstract
This research aims to support chest computed tomography (CT) medical checkups to decrease the death rate by lung cancer. We have developed a remote cooperative reading system for lung cancer screening over the Internet, a secure transmission function, and a cooperative reading environment. It is called the Network-based Reading System. A telemedicine system involves many issues, such as network costs and data security if we use it over the Internet, which is an open network. In Japan, broadband access is widespread and its cost is the lowest in the world. We developed our system considering human machine interface and security. It consists of data entry terminals, a database server, a computer aided diagnosis (CAD) system, and some reading terminals. It uses a secure Digital Imaging and Communication in Medicine (DICOM) encrypting method and Public Key Infrastructure (PKI) based secure DICOM image data distribution. We carried out an experimental trial over the Japan Gigabit Network (JGN), which is the testbed for the Japanese next-generation network, and conducted verification experiments of secure screening image distribution, some kinds of data addition, and remote cooperative reading. We found that network bandwidth of about 1.5 Mbps enabled distribution of screening images and cooperative reading and that the encryption and image distribution methods we proposed were applicable to the encryption and distribution of general DICOM images via the Internet.
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Yuichi Fujino, Kaori Fujimura, Shin-ichiro Nomura, Harumi Kawashima, Megumu Tsuchikawa, Toru Matsumoto, Kei-ichi Nagao, Takahiro Uruma, Shinji Yamamoto, Hotaka Takizawa, Chikazumi Kuroda, Tomio Nakayama, "Network-based reading system for lung cancer screening CT", Proc. SPIE 6145, Medical Imaging 2006: PACS and Imaging Informatics, 614505 (16 March 2006); doi: 10.1117/12.653019; https://doi.org/10.1117/12.653019
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KEYWORDS
Image encryption

Computed tomography

Computer aided diagnosis and therapy

Internet

Lung cancer

Medical imaging

Networks

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