Deep learning-based acceleration of compressed SENSE brain ASL MRI using 3D Cartesian TSE with improved spatial resolution

Motivation: Brain ASL images are frequently obtained at relatively low spatial resolutions, necessitating a desire for higher-resolution ASL MRI without extended scan times. Goal(s): To evaluate the potential of employing CS-AI for accelerating higher-resolution brain ASL MRIApproach: Acceleration of higher-resolution 3D Cartesian TSE ASL MRI was achieved using CS-AI at 2, 3, and 4-fold rates, and its performance was compared with SENSE. Results: CS-AI-accelerated 3D brain ASL images exhibited good SNR and quality, surpassing those acquired with SENSE, without affecting CBF quantification. Impact: This investigation may improve the clinical utility of brain ASL, particularly in quantifying perfusion alterations in small-sized lesions.