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service-oriented visualization applied to medical data analysis

service oriented COMPUTING AND APPLICATIONS 2008年第4期2卷 187-201页

作者： Zudilova-Seinstra, Elena Yang, Ning Axner, Lilit Wibisono, Adianto Vasunin, Dmitry Univ Amsterdam Inst Informat Sect Computat Sci Amsterdam Netherlands Univ Amsterdam Inst Informat Syst & Networking Engn Grp Amsterdam Netherlands

With the era of Grid computing, data driven experiments and simulations have become very advanced and complicated. To allow specialists from various domains to deal with large datasets, aside from developing efficient extraction techniques, it is necessary to have available computational facilities to visualize and interact with the results of an extraction process. Having this in mind, we developed an Interactive visualization Framework, which supports a service-oriented architecture. This framework allows, on one hand visualization experts to construct visualizations to view and interact with large datasets, and on the other hand end-users (e.g., medical specialists) to explore these visualizations irrespective of their geographical location and available computing resources. The image-based analysis of vascular disorders served as a case study for this project. The paper presents main research findings and reports on the current implementation status.

关键词： service-oriented visualization Grid/Web services Image-based medical analysis Workflow management

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Data Transport between visualization Web services for Medical Image Analysis

Data Transport between Visualization Web Services for Medica...

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International Conference on Computational Science (ICCS)

作者： Koulouzis, Spiros Zudilova-Seinstra, Elena Belloum, Adam Univ Amsterdam Inst Informat Sect Computat Sci NL-1012 WX Amsterdam Netherlands

With the rapid development of IT data driven experiments and simulations have become very advanced and complicated. The amount and complexity of scientific data increase exponentially. Nowadays the challenge is to efficiently support scientists who generate more data than they can possibly look at and understand. This requires not only high-performance visualization and feature extraction techniques but also efficient and intuitive management of available data and underlying computational resources. Consequently, service oriented Architectures and workflow management systems are becoming popular solutions for the deployment of e-Science Infrastructures aimed to assist in exploration and analysis of large scientific data. In this paper, we compare two transport models of workflow execution for data-intensive medical visualizations that rely on web services. The image-based analysis of vascular disorders served as a case study for this project. We applied a service oriented approach to construct distributed visualization pipelines, which allow visualization experts to develop visualizations to view and interact with large medical data sets. Moreover, end-users (i.e., medical specialists) can explore these visualizations irrespective of their geographical location and available computing resources. The paper reports on the current implementation status and presents our main findings. (C) 2010 Published by Elsevier Ltd.

关键词： service-oriented visualization Web services Data Transfers Image-based medical analysis

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Data transport between visualization web services for medical image analysis

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Procedia Computer Science 2010年第1期1卷 1727-1736页

作者： Spiros Koulouzis Elena Zudilova-Seinstra Adam Belloum Section Computational Science Informatics Institute University of Amsterdam the Netherlands

关键词： service-oriented visualization Web services Data transfers Image-based medical analysis

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