Keywords: Myocardium, Cardiovascular
Motivation: Cardiac abnormalities and arrhythmias increased risk of cardiovascular mortality especially in patients with Chronic Kidney Disease (CKD).
Goal(s): To provide objective and subjective assessment in supproting the feasibility of deep learning acqusition and reconstruction cardiac magnetic resonance (CMR) imaging in patients with Chronic Kidney Disease (CKD).
Approach: Qualitative and quantitative evaluation of Sonic DL-based CMR images including breath-hold acquisition within one-beat-interval, free-breathing acquisition in comparison with traditional cine images.
Results: Sonic DL significantly accelerated acuqisition time (e.g. 11 seconds) but offered diagnosis-suffcient image quality and reliable strain values ompared to conventional sequences.
Impact: Sonic DL cine MRI showed equivalent image quality to conventional one, offered reliable strain values for diagnosis of a CKD patient lack of breath-hold ability and presentce with arrhythmias. Even it acquire a whole heart cine image in 11 seconds.
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