ArticlePediatric radiology2026
Clinical evaluation of accelerated breath-held and free-breathing cine cardiac MRI using model-based deep learning reconstruction (SonicDL) in children and young adults.
Article in Pediatric radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundBalanced steady-state free-precession (bSSFP) cine imaging is the clinical standard for ventricular function assessment but requires multiple breath-holds, which can be challenging for pediatric and young adult patients. Deep learning (DL)-accelerated cine imaging offers the potential to reduce breath-hold burden, shorten scan time, and enable free-breathing acquisitions.
objectiveTo clinically evaluate a commercially available DL-accelerated cine bSSFP sequence (SonicDL) across multiple acceleration levels and breath-hold/free-breathing configurations, and to assess diagnostic image quality, ventricular volumetric accuracy, and scan time reductions. MATERIALS AND
methodsThis retrospective study included 25 patients with pectus excavatum and 15 with cardiomyopathy who underwent conventional cine imaging with breath-hold duration of nine cardiac-cycle interval (9-RR) and SonicDL acquisitions at 4-RR breath-hold, 1-RR breath-hold, and 1-RR free breathing. Diagnostic image quality was independently scored by three expert readers using a 5-point scale. Automated DL-based segmentation provided biventricular volumetric indices, with phase-contrast flow serving as the physiological reference for stroke volume. Statistical analysis included repeated-measures ANOVA, paired tests, ICCs, and Bland-Altman analysis.
resultsSonicDL significantly reduced scan time 57% (4-RR breath-hold), 79% (1-RR breath-hold), and 87% (1-RR free breathing) compared with 9-RR breath-hold imaging. Diagnostic image quality was highest for 4-RR breath-hold (median 4.50), significantly exceeding other protocols (P<0.0001). Across all SonicDL protocols, volumetric indices showed small biases (<2 mL/m
conclusionSonicDL cine bSSFP imaging substantially reduces breath-hold burden and scan time while maintaining diagnostic image quality and close agreement with conventional cine and physiologic flow measurements. The 4-RR breath-hold protocol provided the most favorable balance of acceleration and fidelity, while free-breathing acquisitions offered a practical alternative for patients with limited breath-hold capacity.
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