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Proceedings Paper

WorkstationJ: workstation emulation software for medical image perception and technology evaluation research
Author(s): Kevin M. Schartz; Kevin S. Berbaum; Robert T. Caldwell; Mark T. Madsen
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Paper Abstract

We developed image presentation software that mimics the functionality available in the clinic, but also records time-stamped, observer-display interactions and is readily deployable on diverse workstations making it possible to collect comparable observer data at multiple sites. Commercial image presentation software for clinical use has limited application for research on image perception, ergonomics, computer-aids and informatics because it does not collect observer responses, or other information on observer-display interactions, in real time. It is also very difficult to collect observer data from multiple institutions unless the same commercial software is available at different sites. Our software not only records observer reports of abnormalities and their locations, but also inspection time until report, inspection time for each computed radiograph and for each slice of tomographic studies, window/level, and magnification settings used by the observer. The software is a modified version of the open source ImageJ software available from the National Institutes of Health. Our software involves changes to the base code and extensive new plugin code. Our free software is currently capable of displaying computed tomography and computed radiography images. The software is packaged as Java class files and can be used on Windows, Linux, or Mac systems. By deploying our software together with experiment-specific script files that administer experimental procedures and image file handling, multi-institutional studies can be conducted that increase reader and/or case sample sizes or add experimental conditions.

Paper Details

Date Published: 8 March 2007
PDF: 11 pages
Proc. SPIE 6515, Medical Imaging 2007: Image Perception, Observer Performance, and Technology Assessment, 65151I (8 March 2007); doi: 10.1117/12.708482
Show Author Affiliations
Kevin M. Schartz, Univ. of Iowa (United States)
Kevin S. Berbaum, Univ. of Iowa (United States)
Robert T. Caldwell, Univ. of Iowa (United States)
Mark T. Madsen, Univ. of Iowa (United States)


Published in SPIE Proceedings Vol. 6515:
Medical Imaging 2007: Image Perception, Observer Performance, and Technology Assessment
Yulei Jiang; Berkman Sahiner, Editor(s)

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