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Proceedings Paper

Towards building high performance medical image management system for clinical trials
Author(s): Fusheng Wang; Rubao Lee; Xiaodong Zhang; Joel Saltz
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Paper Abstract

Medical image based biomarkers are being established for therapeutic cancer clinical trials, where image assessment is among the essential tasks. Large scale image assessment is often performed by a large group of experts by retrieving images from a centralized image repository to workstations to markup and annotate images. In such environment, it is critical to provide a high performance image management system that supports efficient concurrent image retrievals in a distributed environment. There are several major challenges: high throughput of large scale image data over the Internet from the server for multiple concurrent client users, efficient communication protocols for transporting data, and effective management of versioning of data for audit trails. We study the major bottlenecks for such a system, propose and evaluate a solution by using a hybrid image storage with solid state drives and hard disk drives, RESTfulWeb Services based protocols for exchanging image data, and a database based versioning scheme for efficient archive of image revision history. Our experiments show promising results of our methods, and our work provides a guideline for building enterprise level high performance medical image management systems.

Paper Details

Date Published: 24 March 2011
PDF: 9 pages
Proc. SPIE 7967, Medical Imaging 2011: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 79670C (24 March 2011); doi: 10.1117/12.877838
Show Author Affiliations
Fusheng Wang, Emory Univ. (United States)
Rubao Lee, The Ohio State Univ. (United States)
Xiaodong Zhang, The Ohio State Univ. (United States)
Joel Saltz, Emory Univ. (United States)


Published in SPIE Proceedings Vol. 7967:
Medical Imaging 2011: Advanced PACS-based Imaging Informatics and Therapeutic Applications
William W. Boonn; Brent J. Liu, Editor(s)

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