Digital radiography image quality evaluation using various phantoms and software

Area of Science:

• Medical Imaging Physics
• Radiological Sciences

Background:

• Digital radiography (DR) systems are crucial for diagnostic imaging.
• Optimizing exposure parameters is essential for achieving high image quality (IQ) and minimizing radiation dose.
• Understanding how different parameters affect IQ metrics is vital for consistent and reliable imaging.

Purpose of the Study:

• To evaluate the impact of varying exposure parameters on image quality (IQ) metrics in digital radiography (DR).
• To compare the influence of these parameters on IQ when assessed using automated software versus visual evaluation.
• To investigate the consistency of IQ metrics across different phantom types.

Main Methods:

• Utilized three commercial phantoms and one IAEA-designed phantom for image acquisition.
• Acquired images on a digital radiography (DR) unit, varying exposure parameters like incident air kerma (IAK) and tube potential (kVp).
• Performed both automated IQ metric analysis using software and visual evaluations for commercial phantoms.

Main Results:

• The effect of exposure parameters on IQ metrics varied significantly between the IAEA phantom and commercial phantoms.
• Clear trends, such as improved IQ with increased IAK and reduced IQ with increased kVp, were predominantly observed with the IAEA phantom.
• Automated IQ evaluation showed less than 10% variation in repeated exposures, while visual evaluation reached up to 17% variation.

Conclusions:

• The complexity of commercial phantoms may obscure the effects of exposure parameters on IQ.
• Post-processing in DR imaging can significantly influence perceived IQ, potentially masking the impact of acquisition parameters.
• Simple phantoms, like the IAEA phantom, provide more reliable insights into the direct effects of exposure parameters on IQ.