Abstract
Medical diagnosis and intervention increasingly rely upon medical image processing tools that are bound with high-cost hardware, designed for special diseases, and incapable of being shared by common medical terminals. In this paper, we present our Ubiquitous Context-based Image Processing Engine (UCIPE) for MedImGrid (Medical Image Grid). It encapsulates image processing algorithms as WS (Web Services), and creates virtual algorithm barn to store their metadata. The user contexts are captured by UCIPE clients and used as clues to search the optimal WS from the algorithm barn. UCIPE supports all-weather accesses (anytime, anywhere, with any means) of numerous multiple terminals to guarantee the algorithm resources be accessed transparently. The UCIPE prototype for MedImGrid is based on CERNET2. The performances of UCIPE-based 3D reconstruction verify the feasibility of UCIPE and prove the improvement of IPv6 network to medical gird applications.
This paper is supported by the National High Technology Research and Development Program of China (863 Program) under grant No.2006AA02Z347, and National Nature Science Foundation of China under grant No.60673174.
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Sun, A. et al. (2007). UCIPE: Ubiquitous Context-Based Image Processing Engine for Medical Image Grid. In: Indulska, J., Ma, J., Yang, L.T., Ungerer, T., Cao, J. (eds) Ubiquitous Intelligence and Computing. UIC 2007. Lecture Notes in Computer Science, vol 4611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73549-6_87
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DOI: https://doi.org/10.1007/978-3-540-73549-6_87
Publisher Name: Springer, Berlin, Heidelberg
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