Optimizing cardiac CT angiography minimum detectable difference via Taguchi's dynamic algorithm, a V-shaped line...

Area of Science:

• Medical Imaging
• Radiology
• Image Quality Assessment

Background:

• Minimum Detectable Difference (MDD) is crucial for assessing imaging quality and spatial resolution in radiology.
• Cardiac CT angiography (CTA) is a widely used imaging modality.

Purpose of the Study:

• To optimize the MDD of cardiac CTA using Taguchi's dynamic algorithm.
• To evaluate the impact of various imaging parameters on CTA spatial resolution.

Main Methods:

• Utilized Taguchi's dynamic algorithm with a V-shaped line gauge and PMMA phantoms (50, 70, 90 kg).
• Optimized six factors: kVp, mAs, CT pitch, FOV, iDose, and reconstruction filter.
• Radiologists ranked CTA scan images, and signal-to-noise ratio (S/N) was calculated.

Main Results:

• The optimal parameter combination was identified: 100 kVp, 600 mAs, 0.200 mm pitch, 280 mm FOV, iDose 5, and XCA filter.
• Achieved MDD values of 2.15, 2.32, and 1.87 mm for 50, 70, and 90 kg phantoms, respectively.
• The 90 kg phantom demonstrated the most precise spatial resolution.

Conclusions:

• Taguchi's dynamic optimization algorithm proved superior to the static approach for cardiac CTA.
• The study successfully optimized CTA parameters to enhance spatial resolution and image quality.