Deep learning-enhanced single-shot cine MRI reduced scan time (10 vs 132 seconds) and improved image quality compared to conventional bSSFP cine in patients with suspected arrhythmias.
Does AI-CS single-shot cine improve image quality and reduce scan time compared to conventional bSSFP cine in healthy volunteers and participants with suspected arrhythmias?
AI-CS single-shot cine MRI provides superior image quality and significantly shorter scan times compared to conventional bSSFP cine, particularly in patients with arrhythmias.
Absolute Event Rate: 0% vs 0%
Purpose To evaluate the feasibility of retrospective electrocardiographically (ECG) gated single-shot cine using deep learning-enhanced compressed sensing (AI-CS) versus conventional balanced steady-state free precession (bSSFP) cine, focusing on left ventricular (LV) structure and function. Materials and Methods Between September 1, 2023, and September 28, 2024, participants (including those with suspected arrhythmias) were prospectively recruited to undergo short-axis cine imaging with both bSSFP and AI-CS single-shot sequences on a 1.5-T scanner. LV volumetric parameters (LV end-diastolic volume, end-systolic volume, stroke volume, ejection fraction, and mass) and strain parameters (peak strain in the radial, longitudinal, and circumferential directions and the time to peak strain SD) were measured and compared using Wilcoxon signed rank tests. Results Among 25 healthy volunteers (mean age, 37.88 years ± 16.76 SD; 18 female) and 45 participants with suspected arrhythmia (mean age, 53.21 years ± 15.45; 20 female), the AI-CS single-shot cine had better image quality compared with bSSFP cine, particularly in participants with arrhythmia (European Cardiovascular Magnetic Resonance Registry score: 0.32 ± 0.68 for bSSFP cine vs 0.05 ± 0.22 for AI-CS single-shot cine; P z = -1.864; P = .06). Scan time was significantly reduced with AI-CS (10 seconds ± 2 vs 132 seconds ± 8; P Keywords: Artificial Intelligence-assisted Compressed SENSE, Arrhythmias, Left Ventricular Structure, Left Ventricular Function, Cardiac MRI, Balanced Steady-State Free Precession Cine Sequences Supplemental material is available for this article. © RSNA, 2026.
Zhang et al. (Thu,) reported a other. Deep learning-enhanced single-shot cine MRI reduced scan time (10 vs 132 seconds) and improved image quality compared to conventional bSSFP cine in patients with suspected arrhythmias.