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Demonstration of correlations between clinical and physical image quality measures in chest and lumbar spine screen-film radiography
Linköping University, Faculty of Health Sciences. Linköping University, Department of Medicine and Care, Radio Physics. Östergötlands Läns Landsting, Centre of Surgery and Oncology, Department of Radiation Physics.ORCID iD: 0000-0003-3352-8330
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2001 (English)In: British Journal of Radiology, ISSN 0007-1285, Vol. 74, no 882, 520-528 p.Article in journal (Refereed) Published
Abstract [en]

The ability to predict clinical image quality from physical measures is useful for optimization in diagnostic radiology. In this work, clinical and physical assessments of image quality are compared and correlations between the two are derived. Clinical assessment has been made by a group of expert radiologists who evaluated fulfilment of the European image criteria for chest and lumbar spine radiography using two scoring methods: image criteria score (ICS) and visual grading analysis score (VGAS). Physical image quality measures were calculated using a Monte Carlo simulation model of the complete imaging system. This model includes a voxelized male anatomy and was used to calculate contrast and signal-to-noise ratio of various important anatomical details and measures of dynamic range. Correlations between the physical image quality measures on the one hand and the ICS and VGAS on the other were sought. 16 chest and 4 lumbar spine imaging system configurations were compared in frontal projection. A statistically significant correlation with clinical image quality was found in chest posteroanterior radiography for the contrast of blood vessels in the retrocardiac area and a measure of useful dynamic range. In lumbar spine anteroposterior radiography, a similar significant correlation with clinical image quality was found between the contrast and signal-to-noise ratio of the trabecular structures in the L1-L5 vertebrae. The significant correlation shows that clinical image quality can, at least in some cases, be predicted from appropriate measures of physical image quality.

Place, publisher, year, edition, pages
2001. Vol. 74, no 882, 520-528 p.
National Category
Medical and Health Sciences
URN: urn:nbn:se:liu:diva-26770Local ID: 11373OAI: diva2:247320
Available from: 2009-10-08 Created: 2009-10-08 Last updated: 2015-03-20

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Sandborg, MichaelAlm Carlsson, Gudrun
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Faculty of Health SciencesRadio PhysicsDepartment of Radiation Physics
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