In this presentation, we presented a new approach to design cloud-based image sharing network for collaborative imaging diagnosis and consultation through Internet, which can enable radiologists, specialists and physicians locating in different sites collaboratively and interactively to do imaging diagnosis or consultation for difficult or emergency cases. The designed network combined a regional RIS, grid-based image distribution management, an integrated video conferencing system and multi-platform interactive image display devices together with secured messaging and data communication. There are three kinds of components in the network: edge server, grid-based imaging documents registry and repository, and multi-platform display devices. This network has been deployed in a public cloud platform of Alibaba through Internet since March 2017 and used for small lung nodule or early staging lung cancer diagnosis services between Radiology departments of Huadong hospital in Shanghai and the First Hospital of Jiaxing in Zhejiang Province.
Yuanyuan Yang, Yiping Gu, Mingqing Wang, Jianyong Sun, Ming Li, Weiqiang Zhang, and Jianguo Zhang, "Cloud-based image sharing network for collaborative imaging diagnosis and consultation," Proc. SPIE 10579, Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications, 1057909 (Presented at SPIE Medical Imaging: February 14, 2018; Published: 6 March 2018); https://doi.org/10.1117/12.2293285.
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