Image Quality Assessment of the External Carotid Artery and Its Branches on Ultra-High-Resolution Head and Neck Computed Tomography Angiography Using a High-Resolution 0.25-mm Detector and Deep Learning Reconstruction

Key Points

• This research aims to evaluate the impact of deep learning reconstruction on the image quality of CTA for the external carotid artery and its branches.
• Utilized ultra-high-resolution CTA with a 0.25-mm detector for image capture.
• Applied deep learning reconstruction techniques to assess image quality improvements.
• Focus on parameters such as vessel sharpness, contrast resolution, and visibility of tumor-feeding vessels.
• Deep learning reconstruction significantly enhanced vessel sharpness and contrast resolution.
• Improved conspicuity of tumor-feeding vessels was observed, indicating better diagnostic utility.