Paper
28 May 2001 Evaluation of viewing methods for magnetic resonance images
Oliver Kuederle, M. Stella Atkins, Kori M. Inkpen, M. Sheelagh T. Carpendale
Author Affiliations +
Abstract
Medical images are increasingly being examined on computer monitors. In contrast to the traditional film viewbox, the use of computer displays often involves a trade-off between the number and size of images shown and the available screen space. This paper focuses on two solutions to this problem: the thumbnail technique and the detail-in-context technique. The thumbnail technique, implemented in many current commercial medical imaging systems, presents an overview of the images in a thumbnail bar while selected images are magnified in a separate window. Our earlier work suggested the use of a detail-in-context technique which displays all images in one window utilizing multiple magnification levels. We conducted a controlled experiment to evaluate both techniques. No significant difference was found for performance and preference. However, differences were found in the interaction patterns and comments provided by the participants. The detail-in-context technique accommodated many individual strategies and offered good capabilities for comparing different images whereas the thumbnail technique strongly encouraged sequential examination of the images and allowed for high magnification factors. Given the results of this study, our research suggests new alternatives to the presentation of medical images and provides an increased understanding of the usability of existing medical image viewing methods.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Oliver Kuederle, M. Stella Atkins, Kori M. Inkpen, and M. Sheelagh T. Carpendale "Evaluation of viewing methods for magnetic resonance images", Proc. SPIE 4319, Medical Imaging 2001: Visualization, Display, and Image-Guided Procedures, (28 May 2001); https://doi.org/10.1117/12.428097
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Cited by 3 scholarly publications.
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KEYWORDS
Medical imaging

Magnetic resonance imaging

Imaging systems

Magnetism

Software development

Visualization

Human-machine interfaces

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