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[Development of an image processing scheme for chest radiographs using a dot printer].

Masayuki Shimosegawa1, Masahito Aoyama, Qiang Li

  • 1Department of Radiological Technology, Gunma Prefectural College of Health Sciences, Japan.

Nihon Hoshasen Gijutsu Gakkai Zasshi
|January 10, 2003
PubMed
Summary

Improved dot printer medical images offer economical diagnostics. Our processing scheme enhances chest radiograph quality for lung nodule detection, achieving 0.816 area under the ROC curve.

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Area of Science:

  • Medical Imaging
  • Image Processing
  • Radiography

Background:

  • Dot printers offer economical medical reference images.
  • Ensuring diagnostic information is preserved is crucial for their utility.

Purpose of the Study:

  • To develop an image processing scheme for chest radiographs using dot printers.
  • To evaluate the diagnostic performance of processed dot printer images.

Main Methods:

  • Developed a scheme with nonlinear and linear pixel value conversions based on radiograph density.
  • Applied adaptive unsharp masking optimized for lungs and mediastinum.
  • Conducted an ROC study for lung nodule detection.

Main Results:

  • Pixel value conversions adapted density characteristics for dot printer output.

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  • Density distributions of lungs in radiographs became comparable.
  • Achieved an area under the ROC curve (A(z)) of 0.816 for lung nodule detection.

    • Conclusions:

    • The developed image processing scheme enhances the diagnostic utility of dot printer chest radiographs.
    • The scheme enables the use of dot printers for economical medical reference images.
    • The results indicate the usefulness of the processing scheme for lung nodule detection.