title: Correlation of the clinical and physical image quality in chest radiography for average adults with a computed radiography imaging system.
abstract: OBJECTIVE
  The purpose of this study was to examine the correlation between the quality of visually graded patient (clinical) chest images and a quantitative assessment of chest phantom (physical) images acquired with a computed radiography (CR) imaging system.
  
  
  METHODS
  The results of a previously published study, in which four experienced image evaluators graded computer-simulated postero-anterior chest images using a visual grading analysis scoring (VGAS) scheme, were used for the clinical image quality measurement. Contrast-to-noise ratio (CNR) and effective dose efficiency (eDE) were used as physical image quality metrics measured in a uniform chest phantom. Although optimal values of these physical metrics for chest radiography were not derived in this work, their correlation with VGAS in images acquired without an antiscatter grid across the diagnostic range of X-ray tube voltages was determined using Pearson's correlation coefficient.
  
  
  RESULTS
  Clinical and physical image quality metrics increased with decreasing tube voltage. Statistically significant correlations between VGAS and CNR (R=0.87, p<0.033) and eDE (R=0.77, p<0.008) were observed.
  
  
  CONCLUSIONS
  Medical physics experts may use the physical image quality metrics described here in quality assurance programmes and optimisation studies with a degree of confidence that they reflect the clinical image quality in chest CR images acquired without an antiscatter grid.
  
  
  CONCLUSIONS
  A statistically significant correlation has been found between the clinical and physical image quality in CR chest imaging. The results support the value of using CNR and eDE in the evaluation of quality in clinical thorax radiography.
authors.affiliation: Radiation Physics Department, Queen's Centre for Oncology and Haematology, Castle Hill Hospital, Hull and East Yorkshire Hospitals, Hull, UK. craig.moore@hey.nhs.uk
authors.forename: C S
authors.initials: CS
authors.lastname: Moore
authors.forename: T J
authors.initials: TJ
authors.lastname: Wood
authors.forename: A W
authors.initials: AW
authors.lastname: Beavis
authors.forename: J R
authors.initials: JR
authors.lastname: Saunderson
mesh_terms: D000328:Adult; D000465:Algorithms; D006801:Humans; D019047:Phantoms, Imaging; D011856:Radiographic Image Enhancement / Q000379:methods / Q000592:standards*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods / Q000592:standards*; D013902:Radiography, Thoracic / Q000379:methods / Q000592:standards*; D059629:Signal-To-Noise Ratio; D014057:Tomography, X-Ray Computed / Q000379:methods / Q000592:standards*