Deep learning-based reconstruction improves MRI image quality and diagnostic performance for carotid atherosclerotic plaques

Objective: ). Methods: . Results: was more effective in diagnosing hemorrhage, lipid nuclei, calcification, fiber cap disruption, and vulnerable plaques, and showed greater concordance with surgical pathology findings. Conclusion: can offer superior image quality and diagnostic performance for carotid atherosclerotic plaques while reducing scanning time. So it enhances diagnostic accuracy and lessens the examination burden on patients which will contribute to the diagnosis and treatment of stroke.