Paper
24 March 2011 Towards building high performance medical image management system for clinical trials
Fusheng Wang, Rubao Lee, Xiaodong Zhang, Joel Saltz
Author Affiliations +
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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fusheng Wang, Rubao Lee, Xiaodong Zhang, and Joel Saltz "Towards building high performance medical image management system for clinical trials", Proc. SPIE 7967, Medical Imaging 2011: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 79670C (24 March 2011); https://doi.org/10.1117/12.877838
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CITATIONS
Cited by 5 scholarly publications and 1 patent.
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KEYWORDS
Image retrieval

Medical imaging

Image storage

Databases

Data storage

Clinical trials

Web services

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