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Evaluation of image quality of lumbar spine images: A comparison between FFE and VGA
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2005 (English)In: Radiation Protection Dosimetry, ISSN 0144-8420, Vol. 114, no 1-3, 53-61 p.Article in journal (Refereed) Published
Abstract [en]

Purpose: The aim of the present study is to compare two different methods for evaluation of the quality of clinical X-ray images. Methods: Based on fifteen lumbar spine radiographs, two new sets of images were created. A hybrid image set was created by adding two distributions of artificial lesions to each original image. The image quality parameters spatial resolution and noise were manipulated and a total of 210 hybrid images were created. A set of 105 disease-free images was created by applying the same combinations of spatial resolution and noise to the original images. The hybrid images were evaluated with the free-response forced error experiment (FFE) and the normal images with visual grading analysis (VGA) by nine experienced radiologists. Results: In the VGA study, images with low noise were preferred over images with higher noise levels. The alteration of the MTF had a limited influence on the VGA score. For the FFE study, the visibility of the lesions was independent of the sharpness and the noise level. No correlation was found between the two image quality measures. Conclusions: FFE is a precise method for evaluation of image quality, but the results are only valid for the type of lesion used in the study, whereas VGA is a more general method for clinical image quality assessment. The results of the FFE study indicate that there might be a potential to lower the dose levels in lumbar spine radiography without losing important diagnostic information. © The Author 2005. Published by Oxford University Press. All rights reserved.

Place, publisher, year, edition, pages
2005. Vol. 114, no 1-3, 53-61 p.
National Category
Medical and Health Sciences
URN: urn:nbn:se:liu:diva-28492DOI: 10.1093/rpd/nch566Local ID: 13640OAI: diva2:249302
Available from: 2009-10-09 Created: 2009-10-09 Last updated: 2015-03-20

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Sandborg, MichaelAlm-Carlsson, Gudrun
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Faculty of Health SciencesRadiation PhysicsDepartment of Radiation Physics
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Radiation Protection Dosimetry
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