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Proceedings Paper

Clinical image processing engine
Author(s): Wei Han; Jianhua Yao; Jeremy Chen; Ronald Summers
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Paper Abstract

Our group provides clinical image processing services to various institutes at NIH. We develop or adapt image processing programs for a variety of applications. However, each program requires a human operator to select a specific set of images and execute the program, as well as store the results appropriately for later use. To improve efficiency, we design a parallelized clinical image processing engine (CIPE) to streamline and parallelize our service. The engine takes DICOM images from a PACS server, sorts and distributes the images to different applications, multithreads the execution of applications, and collects results from the applications. The engine consists of four modules: a listener, a router, a job manager and a data manager. A template filter in XML format is defined to specify the image specification for each application. A MySQL database is created to store and manage the incoming DICOM images and application results. The engine achieves two important goals: reduce the amount of time and manpower required to process medical images, and reduce the turnaround time for responding. We tested our engine on three different applications with 12 datasets and demonstrated that the engine improved the efficiency dramatically.

Paper Details

Date Published: 13 March 2009
PDF: 9 pages
Proc. SPIE 7264, Medical Imaging 2009: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 726408 (13 March 2009); doi: 10.1117/12.811642
Show Author Affiliations
Wei Han, National Institutes of Health (United States)
Jianhua Yao, National Institutes of Health (United States)
Jeremy Chen, National Institutes of Health (United States)
Ronald Summers, National Institutes of Health (United States)


Published in SPIE Proceedings Vol. 7264:
Medical Imaging 2009: Advanced PACS-based Imaging Informatics and Therapeutic Applications
Khan M. Siddiqui; Brent J. Liu, Editor(s)

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