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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Antonelli, L., Ceccarelli, M., Carracciuolo, L., Amore, L.D., Murli, A.: Total Variation Regularization for Edge Preserving 3D SPECT Imaging in High Performance Computing Environments. In: Sloot, P.M.A., Tan, C.J.K., Dongarra, J.J., Hoekstra, A.G. (eds.) Computational Science - ICCS 2002. LNCS, vol. 2330, pp. 171–180. Springer, Heidelberg (2002)
Ding, H., Wang, G., Hong, B., Zhou, Y., Meng, M., Gao, S.: Construction of a Knowledge Center for Medical Image. In: Proceedings of Engineering in Medicine and Biology Society (EMBC 2005), September 2005, Shanghai, China, pp. 82–85 (2005)
Jin, H., Sun, A., Zhang, Q., Zheng, R., He, R.: MIGP: Medical Image Grid Platform Based on HL7 Grid Middleware. In: Yakhno, T., Neuhold, E.J. (eds.) ADVIS 2006. LNCS, vol. 4243, pp. 254–263. Springer, Heidelberg (2006)
Bertero, M., Bonetto, P.: MedIGrid: a Medical Imaging Application for Computational Grids. In: Proceeding of International Parallel and Distributed Processing Symposium (IPDPS 2003), April 2003, Nice, France, pp.22–26 (2003)
Vision of a HealthGrid, http://www.healthgrid.org/
Mayer, A.: Providing with High Performance 3D Medical Image Processing on a Distributed Environment. Journal of Computer Methods and Programs in Biomedicine 58(3), 207–217 (2005)
Yang, S.N., Wu, T.S.: Compressing Isosurfaces Generated with Marching Cubes. The Visual Computer Journal 18(1), 54–67 (2004)
ChinaGrid Support Platform, http://www.chinagrid.edu.cn/cgsp
PostgreSQL: The World’s Most Advanced Open Source Database, http://www.postgresql.org/
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-540-73549-6_87
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73548-9
Online ISBN: 978-3-540-73549-6
eBook Packages: Computer ScienceComputer Science (R0)