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Proceedings Paper

A digital archiving system and distributed server-side processing of large datasets
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Paper Abstract

In this paper, we present MIDAS, a web-based digital archiving system that processes large collections of data. Medical imaging research often involves interdisciplinary teams, each performing a separate task, from acquiring datasets to analyzing the processing results. Moreover, the number and size of the datasets continue to increase every year due to recent advancements in acquisition technology. As a result, many research laboratories centralize their data and rely on distributed computing power. We created a web-based digital archiving repository based on openstandards. The MIDAS repository is specifically tuned for medical and scientific datasets and provides a flexible data management facility, a search engine, and an online image viewer. MIDAS enables users to run a set of extensible image processing algorithms from the web to the selected datasets and to add new algorithms to the MIDAS system, facilitating the dissemination of users' work to different research partners. The MIDAS system is currently running in several research laboratories and has demonstrated its ability to streamline the full image processing workflow from data acquisition to image analysis and reports.

Paper Details

Date Published: 13 March 2009
PDF: 8 pages
Proc. SPIE 7264, Medical Imaging 2009: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 726413 (13 March 2009); doi: 10.1117/12.812227
Show Author Affiliations
Julien Jomier, Kitware, Inc. (United States)
Stephen R. Aylward, Kitware, Inc. (United States)
Charles Marion, Kitware, Inc. (United States)
Joowhi Lee, Univ. of North Carolina at Chapel Hill (United States)
Martin Styner, Univ. of North Carolina at Chapel Hill (United States)

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

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