Keywords: Machine Learning/Artificial Intelligence, Brain, ASL, 3D Cartesian TSE, CS-AI, Deep Learning
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 MRI
Approach: 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.
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