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Comparison of model predictions of image quality with results of clinical trials in chest and lumbar spine screen-film imaging
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
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: 0000-0003-0209-498X
2000 (English)In: Radiation Protection Dosimetry, ISSN 0144-8420, E-ISSN 1742-3406, Vol. 90, no 1-2, 173-176 p.Article in journal (Refereed) Published
Abstract [en]

The ability to predict image quality from known physical and technical parameters is a prerequisite for making successful dose optimisation. In this study, imaging systems have been simulated using a Monte Carlo model of the imaging systems. The model includes a voxelised human anatomy and quantifies image quality in terms of contrast and signal-to-noise ratio for 5-6 anatomical details included in the anatomy. The imaging systems used in clinical trials were simulated and the ranking of the systems by the model and radiologists compared. The model and the results of the trial for chest PA both show that using a high maximum optical density was significantly better than using a low one. The model predicts that a good system is characterised by a large dynamic range and a high contrast of the blood vessels in the retrocardiac area. The ranking by the radiologists and the model agreed for the lumbar spine AP.

Place, publisher, year, edition, pages
2000. Vol. 90, no 1-2, 173-176 p.
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Medical and Health Sciences
Identifiers
URN: urn:nbn:se:liu:diva-26771Local ID: 11374OAI: oai:DiVA.org:liu-26771DiVA: diva2:247321
Available from: 2009-10-08 Created: 2009-10-08 Last updated: 2017-12-13

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Sandborg, MichaelAlm Carlsson, Gudrun

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Faculty of Health SciencesRadio PhysicsDepartment of Radiation Physics
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