Literature DB >> 11459731

Demonstration of correlations between clinical and physical image quality measures in chest and lumbar spine screen-film radiography.

M Sandborg1, A Tingberg, D R Dance, B Lanhede, A Almén, G McVey, P Sund, S Kheddache, J Besjakov, S Mattsson, L G Månsson, G Alm Carlsson.   

Abstract

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 fulfillment 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.

Mesh:

Year:  2001        PMID: 11459731     DOI: 10.1259/bjr.74.882.740520

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  6 in total

1.  Quantifying the potential for dose reduction with visual grading regression.

Authors:  O Smedby; M Fredrikson; J De Geer; L Borgen; M Sandborg
Journal:  Br J Radiol       Date:  2012-06-20       Impact factor: 3.039

2.  Image quality of supine chest radiographs: intra-individual comparison of computed radiography and low-dose linear-slit digital radiography.

Authors:  Zsolt Szucs-Farkas; Peter Vock
Journal:  Eur Radiol       Date:  2009-05-05       Impact factor: 5.315

3.  Visual grading regression: analysing data from visual grading experiments with regression models.

Authors:  O Smedby; M Fredrikson
Journal:  Br J Radiol       Date:  2010-03-11       Impact factor: 3.039

4.  Quantifying the potential for dose reduction with visual grading regression.

Authors:  O Smedby; M Fredrikson; J De Geer; L Borgen; M Sandborg
Journal:  Br J Radiol       Date:  2013-01       Impact factor: 3.039

Review 5.  Methods for the analysis of ordinal response data in medical image quality assessment.

Authors:  Claire Keeble; Paul D Baxter; Amber J Gislason-Lee; Laura A Treadgold; Andrew G Davies
Journal:  Br J Radiol       Date:  2016-04-12       Impact factor: 3.039

6.  Diagnostic efficacy of handheld devices for emergency radiologic consultation.

Authors:  Rachel J Toomey; John T Ryan; Mark F McEntee; Michael G Evanoff; Dev P Chakraborty; Jonathan P McNulty; David J Manning; Edel M Thomas; Patrick C Brennan
Journal:  AJR Am J Roentgenol       Date:  2010-02       Impact factor: 3.959

  6 in total

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