Li Liu1, Weiping Chen2, Min Nie3, Fengjuan Zhang1, Yu Wang3, Ailing He1, Xiaonan Wang4, Gen Yan5. 1. Information Center, Affiliated Hospital of Jiangnan University, No.200, Huihe Road, Wuxi, 214062, China. 2. Wuxi Municipal Commission of Health and Family Planning, Wuxi, 214023, China. 3. AccuRad Healthcare Network Co.,Ltd. Xi'an, Ascendas Innovation Hub B, No.38 Gao Xin 6 Road, Xi'an Hi-tech Industrial Development Zone, Xi'an, 710075, China. 4. Comprehensive Health Care Department, Hangzhou First People's Hospital, Hangzhou, 310006, China. 5. Department of Radiology, Affiliated Hospital of Jiangnan University, No.200, Huihe Road, Wuxi, 214062, China. gyan@stu.edu.cn.
Abstract
OBJECTIVES: To handle the emergence of the regional healthcare ecosystem, physicians and surgeons in various departments and healthcare institutions must process medical images securely, conveniently, and efficiently, and must integrate them with electronic medical records (EMRs). In this manuscript, we propose a software as a service (SaaS) cloud called the iMAGE cloud. METHODS: A three-layer hybrid cloud was created to provide medical image processing services in the smart city of Wuxi, China, in April 2015. In the first step, medical images and EMR data were received and integrated via the hybrid regional healthcare network. Then, traditional and advanced image processing functions were proposed and computed in a unified manner in the high-performance cloud units. Finally, the image processing results were delivered to regional users using the virtual desktop infrastructure (VDI) technology. Security infrastructure was also taken into consideration. RESULTS: Integrated information query and many advanced medical image processing functions-such as coronary extraction, pulmonary reconstruction, vascular extraction, intelligent detection of pulmonary nodules, image fusion, and 3D printing-were available to local physicians and surgeons in various departments and healthcare institutions. CONCLUSIONS: Implementation results indicate that the iMAGE cloud can provide convenient, efficient, compatible, and secure medical image processing services in regional healthcare networks. The iMAGE cloud has been proven to be valuable in applications in the regional healthcare system, and it could have a promising future in the healthcare system worldwide.
OBJECTIVES: To handle the emergence of the regional healthcare ecosystem, physicians and surgeons in various departments and healthcare institutions must process medical images securely, conveniently, and efficiently, and must integrate them with electronic medical records (EMRs). In this manuscript, we propose a software as a service (SaaS) cloud called the iMAGE cloud. METHODS: A three-layer hybrid cloud was created to provide medical image processing services in the smart city of Wuxi, China, in April 2015. In the first step, medical images and EMR data were received and integrated via the hybrid regional healthcare network. Then, traditional and advanced image processing functions were proposed and computed in a unified manner in the high-performance cloud units. Finally, the image processing results were delivered to regional users using the virtual desktop infrastructure (VDI) technology. Security infrastructure was also taken into consideration. RESULTS: Integrated information query and many advanced medical image processing functions-such as coronary extraction, pulmonary reconstruction, vascular extraction, intelligent detection of pulmonary nodules, image fusion, and 3D printing-were available to local physicians and surgeons in various departments and healthcare institutions. CONCLUSIONS: Implementation results indicate that the iMAGE cloud can provide convenient, efficient, compatible, and secure medical image processing services in regional healthcare networks. The iMAGE cloud has been proven to be valuable in applications in the regional healthcare system, and it could have a promising future in the healthcare system worldwide.
Keywords:
Cloud computing; Electronic medical record; Medical image processing; Regional healthcare; Virtual desktop infrastructure
Authors: George C Kagadis; Christos Kloukinas; Kevin Moore; Jim Philbin; Panagiotis Papadimitroulas; Christos Alexakos; Paul G Nagy; Dimitris Visvikis; William R Hendee Journal: Med Phys Date: 2013-07 Impact factor: 4.071
Authors: Bruce Y Lee; Kim F Wong; Sarah M Bartsch; S Levent Yilmaz; Taliser R Avery; Shawn T Brown; Yeohan Song; Ashima Singh; Diane S Kim; Susan S Huang Journal: J Am Med Inform Assoc Date: 2013-04-09 Impact factor: 4.497
Authors: Thomas M Deserno Né Lehmann; Heinz Handels; Klaus H Maier-Hein Né Fritzsche; Sven Mersmann; Christoph Palm; Thomas Tolxdorff; Gudrun Wagenknecht; Thomas Wittenberg Journal: Curr Med Imaging Rev Date: 2013-05
Authors: Lena Griebel; Hans-Ulrich Prokosch; Felix Köpcke; Dennis Toddenroth; Jan Christoph; Ines Leb; Igor Engel; Martin Sedlmayr Journal: BMC Med Inform Decis Mak Date: 2015-03-19 Impact factor: 2.796