Improved Coronary Artery Visualization Using Virtual Monoenergetic Imaging from Dual-Layer Spectral Detector CT...

Area of Science:

• Radiology
• Medical Imaging
• Cardiovascular Imaging

Background:

• Coronary CT angiography (CCTA) is crucial for diagnosing coronary artery disease.
• Dual-layer spectral detector computed tomography (DLCT) offers advanced imaging capabilities.
• Evaluating monoenergetic reconstructions for improved CCTA image quality is essential.

Purpose of the Study:

• To assess if DLCT-based monoenergetic reconstructions enhance CCTA image quality.
• To determine if image quality improvements affect quantitative stenosis assessment.
• To compare virtual monoenergetic images (VMI) with conventional 120 kVp images.

Main Methods:

• Fifty CCTA datasets were acquired using a DLCT system.
• Datasets were reconstructed into VMIs at various keV levels (40-100 keV).
• Objective (SNR, CNR) and subjective (Likert scale) image quality assessments were performed, alongside stenosis grading.

Main Results:

• VMIs from 40-70 keV demonstrated significantly higher SNR and CNR than conventional images (p < 0.001).
• 40 keV VMIs achieved the highest scores for sharpness, vascular contrast, and overall impression (p < 0.001).
• Stenosis detection and grading showed excellent interobserver agreement between conventional and VMI (70 keV, 40 keV).

Conclusions:

• 40 keV VMIs from DLCT systems significantly improve objective and subjective CCTA image quality.
• Monoenergetic reconstructions offer superior image quality without compromising diagnostic accuracy for coronary stenoses.
• DLCT-based VMI represents a valuable advancement in cardiovascular CT imaging.