[Imaging of coronary stents using multislice computed tomography]

Area of Science:

• Cardiovascular Imaging
• Medical Device Technology

Background:

• Coronary artery stenting is a key revascularization method.
• Drug-eluting stents (DES) reduce restenosis but increase late stent thrombosis.
• Multislice computed tomography (MSCT) visualizes coronary stents, yet blooming artifacts impede lumen assessment.

Purpose of the Study:

• To investigate factors affecting stent lumen visualization in MSCT.
• To evaluate the impact of convolution kernels on blooming artifacts.
• To identify optimal conditions for MSCT stent imaging.

Main Methods:

• Analysis of blooming artifact severity based on stent strut thickness, design, and material.
• Comparison of different convolution kernels (soft, medium, edge-enhancing) for image reconstruction.
• Assessment of stent lumen visualization in relation to stent diameter and location.

Main Results:

• Blooming artifacts significantly hamper stent lumen delineation in MSCT.
• Edge-enhancing kernels improve lumen visualization compared to soft/medium kernels, but increase image noise.
• Optimal visualization is typically achieved for stents >3 mm in diameter, located proximally, and perpendicular to the scanner's z-axis.

Conclusions:

• MSCT stent imaging remains challenging due to blooming artifacts.
• Convolution kernel selection is critical for enhancing stent lumen visualization.
• Stent characteristics and positioning influence imaging quality, impacting diagnostic accuracy.