Keywords: Kidney, Kidney, ASL, 3D Cartesian TSE, CS-AI, Deep Learning
Motivation: Motion and breathing can compromise 3D renal ASL MRI, reducing SNR and causing artifacts. Shorter-time acquisition is crucial for its clinical utility
Goal(s): To Evaluate the potential of CS-AI in accelerating renal ASL MRI with 3D Cartesian TSE.
Approach: We accelerated renal ASL MRI 2-, 4-, and 6 times using CS-AI, comparing with SENSE.
Results: CS-AI-accelerated images exhibited superior SNR and quality compared to SENSE, without affecting RBF quantification.
Impact: This study may enhance the clinical utility of 3D renal ASL, particularly in discerning perfusion alterations in small-sized lesions like small renal masses.
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