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Development of an image quality evaluation system for bedside chest X-ray images using scatter correction processing.

Kazuya Mori1,2, Toru Negishi3

  • 1Department of Radiological Technology, Saiseikai Kawaguchi General Hospital, 5-11-5 Nishikawaguchi, Kawaguchi, Saitama, 332-8558, Japan. k-mori@saiseikai.gr.jp.

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Summary

This study introduces an objective system for evaluating bedside chest X-ray images processed with Virtual Grid (VG) technology. The system, using blind/referenceless image spatial quality evaluator (BRISQUE), shows high correlation with subjective scores, enabling efficient quality assessment.

Keywords:
Chest X-ray imageNo-reference image quality assessmentPortable radiographyScattered X-ray correction processingSubjective evaluation

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Area of Science:

  • Medical Imaging
  • Radiography
  • Image Processing

Background:

  • Scattered X-ray correction using Virtual Grid (VG) is crucial in plain radiography.
  • Objective evaluation of VG-processed bedside chest X-ray images is needed.
  • Existing methods may lack efficiency or require extensive training data.

Purpose of the Study:

  • To develop and validate an objective evaluation system for VG-processed bedside chest X-ray images.
  • To assess the usefulness of the blind/referenceless image spatial quality evaluator (BRISQUE) for VG image quality assessment.
  • To establish a reliable and efficient method for ensuring proper image quality in portable chest radiography.

Main Methods:

  • Trained BRISQUE on 200 portable chest X-ray images.
  • Evaluated VG images using BRISQUE and subjective Mean Opinion Score (MOS) with 14 technologists.
  • Calculated Cohen's kappa coefficient to determine agreement between objective and subjective evaluations for 100 clinical images.

Main Results:

  • BRISQUE scores showed a strong negative linear correlation (r = -0.96, p < 0.05) with MOS for phantom images.
  • The objective evaluation system achieved a Cohen's kappa of 0.42.
  • The system demonstrated a high detection rate (82.86%) for poor-quality images.

Conclusions:

  • BRISQUE shows potential as an objective alternative to MOS for VG image quality assessment.
  • The developed objective system effectively evaluates VG-processed bedside chest X-ray images.
  • This no-reference image quality evaluation system is efficient, requires minimal training data, and is adaptable for various healthcare facilities.