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Proceedings Paper

MICE: a mouse imaging collaboration environment
Author(s): Jacek Szymanski; Chris Flask; David Wilson; David Johnson; Raymond F. Muzic; Guo-Qiang Zhang
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Paper Abstract

With the ever-increasing complexity of science and engineering, many important research problems are being addressed by collaborative, multidisciplinary teams. We present a web-based collaborative environment for small animal imaging research, called the Mouse Imaging Collaboration Environment (MICE). MICE provides an effective and user-friendly tool for managing and sharing of the terabytes of high-resolution and high-dimension image data generated at small animal imaging core facilities. We describe the design of MICE and our experience in the implementation and deployment of a beta-version baseline-MICE. The baseline-MICE provides an integrated solution from image data acquisition to end-user access and long-term data storage at our UH/Case Small Animal Imaging Resource Center. As image data is acquired from scanners, it is pushed to the MICE server which automatically stores it in a directory structure according to its DICOM metadata. The directory structure reflects imaging modality, principle investigators, animal models, scanning dates and study details. Registered end-users access this imaging data through an authenticated web-interface. Thumbnail images are created by custom scripts running on the MICE server while data down-loading is achieved through standard web-browser ftp. MICE provides a security infrastructure that manages user roles, their access privileges such as read/write, and the right to modify the access privileges. Additional data security measures include a two server paradigm with the Web access server residing outside a network firewall to provide access through the Internet, and the imaging data server - a large RAID storage system supporting flexible backup policies - residing behind the protected firewall with a dedicated link to the Web access server. Direct network link to the RAID storage system outside the firewall other than this dedicated link is not permitted. Establishing the initial image directory structure and letting the project leader manage data access through a web-interface represent Phase I implementation. In Phase II, features for uploading image analysis scripts and results back to the MICE server will be implemented, as well as mechanisms facilitating asynchronous and synchronous discussion, annotation, and analysis. Most of MICE features are being implemented in the Plone5 object-oriented database environment which greatly shortens developmental time and effort by the reuse of a variety of Plone's open-source modules for Content Management Systems.7, 8 The open-source modules are well suited as an implementation basis of MICE and provide data integration as a built-in primitive.

Paper Details

Date Published: 16 March 2006
PDF: 9 pages
Proc. SPIE 6145, Medical Imaging 2006: PACS and Imaging Informatics, 614511 (16 March 2006); doi: 10.1117/12.653826
Show Author Affiliations
Jacek Szymanski, Case Western Reserve Univ. (United States)
Chris Flask, Univ. Hospitals of Cleveland (United States)
David Wilson, Case Western Reserve Univ. (United States)
David Johnson, Case Western Reserve Univ. (United States)
Raymond F. Muzic, Univ. Hospitals of Cleveland (United States)
Guo-Qiang Zhang, Case Western Reserve Univ. (United States)


Published in SPIE Proceedings Vol. 6145:
Medical Imaging 2006: PACS and Imaging Informatics
Steven C. Horii; Osman M. Ratib, Editor(s)

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