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CODE:
LL-IN3104
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A Data Grid for Imaging-based Clinical Trials
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DISCLOSURES |
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Z.Z.
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- Nothing to disclose.
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B.L.
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- Nothing to disclose.
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H.H.
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- Nothing to disclose.
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M.B.
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- Nothing to disclose.
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J.D.
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- Nothing to disclose.
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D.L.
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- Nothing to disclose.
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.e.
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LEARNING OBJECTIVES |
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1. Learn Concepts and Workflow of imaging-based clinical trials;
2. Gain knowledge of Grid Computing;
3. Learn infrastructure design of the Data Grid;
4. Use the Data Grid for imaging-based clinical trials;
5. How to establish a Data Grid testbed;
6. Use grid computing for medical imaging applications.
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ABSTRACT |
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Imaging based clinical trials play a crucial role in testing new drugs or devices in modern clinical practice because images provide a unique and fast diagnosis with visual observance and quantitative assessments. A typical imaging-based clinical trial includes a radiology core that has a quality control mechanism and a server for storing and distributing data and analysis results. With the ever-increasing number of clinical trials, it becomes a great challenge for a radiology core to have a robust server to administrate multiple trials and to quickly distribute information to participating clinicians worldwide to assess trial results. In this presentation, we demonstrate a DICOM-based Data Grid architecture that provides storing and sharing of images and analysis results for a clinical trial radiology core. In the demonstration, the trial workstation can retrieve DICOM images from the Data Grid to perform data analysis and store the analysis results back to the Data Grid for sharing. (An author of this exhibit will be available each day, Sunday-Thursday, 10:00 am – 2:00 pm, and Friday, 10:00 am – 12:45 pm.)
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QUESTIONS ABOUT THIS EVENT EMAIL: |
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zhengzho@usc.edu |
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