Automated contrast-to-noise ratio analysis in chest CT: validation of an open-source segmentation approach

Key Points

• To validate an open-source segmentation method for automated contrast-to-noise ratio (CNR) analysis in chest CT.
• Developed an automated CNR assessment tool utilizing an open-source segmentation approach.
• Conducted validation tests on chest CT images for accuracy and reproducibility.
• Compared the automated measurements against established standards for image quality.
• The automated approach yielded improved accuracy in evaluating contrast-to-noise ratios.
• Segmentation adjustments significantly enhanced measurement precision.
• The method demonstrates potential for standardized CT image quality assessments in both research and clinical settings.

Abstract