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This article is part of the supplement: Proceedings of the 2012 Sino-American Symposium on Clinical and Translational Medicine (SAS-CTM)

Open Access Meeting abstract

Building Biomedical Imaging and Informatics e-Science platform for translational medical research

Jianguo Zhang1*, Kai Zhang1, Tusheng Wang1, Yuanyuan Yang1, Haibo Hu2 and Lisa Xu2

Author Affiliations

1 Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, China

2 School of Biomedical Engineering and Med-X Research Institute, Shanghai Jiaotong University, Shanghai, China

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Journal of Translational Medicine 2012, 10(Suppl 2):A32  doi:10.1186/1479-5876-10-S2-A32

The electronic version of this article is the complete one and can be found online at: http://www.translational-medicine.com/content/10/S2/A32


Published:17 October 2012

© 2012 Zhang et al; licensee BioMed Central Ltd.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Background

As there are urgent demands to bring medical imaging research and clinical service together more closely to solve the problems related to disease discover, medical research, diagnosis and education, a new imaging and informatics infrastructure and paradigm need to be developed to promote multiple disciplines of medical researchers, clinical physicians and biomedical engineers working together in a secured, efficient, and transparent cooperative environment [1]. In this presentation, we outline our preliminary work of building Biomedical Imaging and Informatics (BMII)“e-Science” platform to support collaborative research among multi-disciplines to enable translational research in multiple affiliated hospitals and academic institutions of Shanghai Jiaotong University (SJTU), and Chinese Academy of Sciences (CAS).

Materials and methods

SJTU has 12 large affiliated hospitals located in multiple districts of Shanghai city with a lot of medical and biomedical imaging modalities (e.g., Clinical CT/MR, Micro-PET/CT) being decentralized used in these hospitals and research centers. Also, there is a powerful Shanghai Synchronic Radiation Facility (SSRF) developed by CAS to support large scale of biomedical imaging researches from molecular level to organ parts [2]. So, we designed and developed the e-Science platform to promote the multi-disciplines working together cross these hospitals and academic institutions, and adopted the Service-Oriented Architecture and grid-based concept to build it. In order to enable efficient collaborating, we designed the work and data flows with Principal Investigator (PI)-oriented information model, and developed a documents/data sharing mechanism based on IHE XDS/XDS-I profiles and the access control standard of XACML in this platform.

Results

We implemented the BMII e-Science platform crossing Shanghai Ruijin Hospital, two campuses of SJTU, SSRS and Shanghai Institute of Technical Physics, CAS. The data communications of the e-Science platform from site to site are fast enough as they are going through the China Education Network in Shanghai with backbone of a few of GB/sec. There were two kinds of collaborations in the e-Science platform, one is to perform real-time interactively or synchronously biomedical imaging experiment among onsite users and remote users, and the other is to share the image data or documents among collaborators.

Conclusions

The developed BMII e-Science platform can promote multiple disciplines of medical researchers, clinical physicians and biomedical engineers working together in a secured, efficient, and transparent cooperative networking environment. Now, the researches, clinical physicians and students can use this e-Science platform to perform biomedical imaging experiments and to do collaborative researching cross multiple hospitals and academic institutions.

Acknowledgements

This research are supported by the grant from the Major State Basic Research Development Program of China (973 Program No.: 2010CB834302) and 985 project of Shanghai Jiaotong University.

References

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    IEEE Computer 2008, 41:58-66. OpenURL

  2. Xiaoxia Liu, Jun Zhao, Jianqi Sun, Xiang Gu, Tiqiao Xiao, Ping Liu, Lisa X, Xu : Lung Cancer and Angiogenesis Imaging using Synchrotron Radiation.

    Physics in Medicine and Biology 2010, 55:2399-2409. PubMed Abstract | Publisher Full Text OpenURL