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Measuring the signal-to-noise ratio in magnetic resonance imaging: a caveat
Department of Electrical and Computer Eng., University of Florida, Gainesville, FL, USA.
Department of Electrical and Computer Eng., University of Florida, Gainesville, FL, USA.ORCID iD: 0000-0002-7599-4367
Department of Electrical and Computer Eng., University of Florida, Gainesville, FL, USA.
Department of Electrical and Computer Eng., University of Florida, Gainesville, FL, USA.
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2004 (English)In: Signal Processing, ISSN 0165-1684, E-ISSN 1872-7557, Vol. 84, no 6, 1035-1040 p.Article in journal (Refereed) Published
Abstract [en]

The validity of the signal-to-noise ratio (SNR) as an objective quality measure for biomedical images has been the subject of a long-standing debate. Nevertheless, the SNR is the most popularly used measure both for assessing the quality of images and for evaluating the effectiveness of image enhancement and signal processing techniques. In this correspondence, we illustrate that under certain conditions the SNR can be changed by a nonlinear transformation, and also that it is often hard to measure objectively. Therefore, the issue is not only how well the SNR correlates with image quality as perceived by a human observer (which has been the primary subject of earlier debate), but also that SNR is questionable from a quantitative measurement point of view.

Place, publisher, year, edition, pages
Elsevier, 2004. Vol. 84, no 6, 1035-1040 p.
Keyword [en]
Magnetic resonance imaging; Signal processing; Signal-to-noise ratio
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-77025DOI: 10.1016/j.sigpro.2004.03.006OAI: oai:DiVA.org:liu-77025DiVA: diva2:524459
Available from: 2012-05-02 Created: 2012-05-02 Last updated: 2017-12-07Bibliographically approved

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Larsson, Erik G.

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