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Title: Mammographic interpretation training: how useful is handheld technology?
Authors: Chen, Yan
Gale, Alastair G.
Scott, Hazel J.
Keywords: Mammogram interpretation
Personal digital assistant (PDAs)
Issue Date: 2008
Publisher: © 2008 Society of Photo-Optical Instrumentation Engineers
Citation: CHEN, Y., GALE, A.G. and SCOTT. H., 2008. Mammographic interpretation training: how useful is handheld technology? IN: Sahiner, B. and Manning, D.J. (eds.). Medical Imaging 2008: Image Perception, Observer Performance, and Technology Assessment, Proceedings of SPIE 6917,691712.
Abstract: In the UK a national self-assessment scheme (PERFORMS) for mammographers is undertaken as part of the National Health Search Breast Screening Programme. Where appropriate, further training is suggested to improve performance. Ideally, such training would be on-demand; that is whenever and wherever an individual decides to undertake it. To use a portable device for such a purpose would be attractive on many levels. However, it is not known whether handheld technology can be used effectively for viewing mammographic images. Previous studies indicate the potential for viewing medical images with fairly low spatial resolution (e.g. CT, MRI) on PDAs. In this study, we set out to investigate factors that might affect the feasibility of using PDAs as a training technology for examining large, high resolution mammographic images. Two studies are reported: 20 mammographers examined a series of mammograms presented on a PDA, specifying the location of any abnormality. Secondly, a group of technologists examined a series of mammograms presented at different sizes and resolutions to mimic presentation on a PDA and their eye movements were recorded. The results indicate the potential for using PDAs to show such large, high resolution images if suitable Human-computer Interaction (HCI) techniques are employed.
Description: Copyright 2008 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic electronic or print reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. This paper can also be found at: http://dx.doi.org/10.1117/12.764483
Version: Published
DOI: 10.1117/12.764483
URI: https://dspace.lboro.ac.uk/2134/6302
Appears in Collections:Conference Papers and Presentations (Computer Science)

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