Image quality in diagnostic radiology: a guide to methodologies for radiologists

Area of Science:

• Radiology
• Medical Imaging
• Diagnostic Science

Background:

• Accurate image quality assessment is crucial for diagnostic radiology.
• Quantitative and qualitative metrics are essential for improving diagnostic accuracy and patient care.
• A practical guide for radiologists on these methodologies is needed.

Purpose of the Study:

• To provide a comprehensive guide on image quality assessment in diagnostic radiology.
• To emphasize practical methodologies for radiologists in clinical practice and research.
• To improve diagnostic accuracy and patient care through understanding and application of image quality metrics.

Main Methods:

• Literature review conducted in PubMed, Scopus, Web of Science, and Embase.
• Search terms included "image quality in radiology", "quantitative and qualitative assessment", "modulation transfer function", "signal-to-noise ratio", "contrast-to-noise ratio", "radiation dose optimization", and "artificial intelligence in image quality assessment".
• Analysis of identified methodologies for clinical applicability, benefits, and limitations, including qualitative methods like visual assessment.

Main Results:

• Identified key quantitative metrics such as modulation transfer function, signal-to-noise ratio, and contrast-to-noise ratio.
• Evaluated the clinical applicability, benefits, and limitations of various image quality assessment metrics.
• Discussed qualitative assessment methods including visual evaluation, contrast/density assessment, and peer review.

Conclusions:

• This guide provides accessible, practical knowledge for general radiologists, filling a gap in the literature.
• Understanding and applying quantitative and qualitative metrics can enhance diagnostic accuracy and patient care.
• Ongoing research, education, and technological advancements are vital for maintaining high standards in radiology image quality assessment.