ArticleEuropean radiology2023
Free-breathing cardiac cine MRI with compressed sensing real-time imaging and retrospective motion correction: clinical feasibility and validation.
Article in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Optimization of Respiratory Training Methods for Cardiac Magnetic Resonance Imaging.Journal of magnetic resonance imaging : JMRI · 2026Article
- Application of AI-assisted compressed sensing cine sequence in the assessment of cardiac function in children with Kawasaki disease.Translational pediatrics · 2026Article
- Free-Breathing Dynamic, Regularized, Adaptive Cluster Optimization (DRACO) Cine Cardiac MRI in Atrial Fibrillation.Journal of magnetic resonance imaging : JMRI · 2026Article
- Clinical evaluation of accelerated breath-held and free-breathing cine cardiac MRI using model-based deep learning reconstruction (SonicDL) in children and young adults.Pediatric radiology · 2026Article
- Clinical application of a full free-breathing cardiac MRI protocol: feasibility, efficiency, and diagnostic accuracy.Quantitative imaging in medicine and surgery · 2026Article
- Deep Learning and Cardiovascular Diseases: An Updated Narrative Review.Journal of clinical medicine · 2026Review
- Full free-breathing motion-corrected cardiac cine and late gadolinium enhancement MRI: feasibility and validation in clinical practice.The international journal of cardiovascular imaging · 2025Article
- Clinical application of free-breathing compressed sensing in cardiac magnetic resonance cine sequences for assessing left ventricular function and strain.Quantitative imaging in medicine and surgery · 2025Article
- Deep Learning Assisted Outer Volume Removal for Highly-Accelerated Real-Time Dynamic MRI.ArXiv · 2025Article
- Full free-breathing cardiovascular magnetic resonance imaging: enhancing efficiency and image quality in clinical practice.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025Article
- Investigating the Use of Generative Adversarial Networks-Based Deep Learning for Reducing Motion Artifacts in Cardiac Magnetic Resonance.Journal of multidisciplinary healthcare · 2025Article
- Diagnosing acute myocarditis in the emergency department-advancing cardiac MRI with a focus on low-field MR applications.Frontiers in radiology · 2025Review
- Clinical feasibility of two cardiac deep learning cine magnetic resonance imaging sequences: Single-breath-hold and free-breathing motion-corrected approaches.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025Article
- Accelerated cardiac cine magnetic resonance imaging using deep low-rank plus sparse network: validation in patients.Quantitative imaging in medicine and surgery · 2024Article
- Optimizing Clinical Cardiac MRI Workflow through Single Breath-Hold Compressed Sensing Cine: An Evaluation of Feasibility and Efficiency.Journal of clinical medicine · 2024Article
- The effects of flip angle and gadolinium contrast agent on single breath-hold compressed sensing cardiac magnetic resonance cine for biventricular global strain assessment.Frontiers in cardiovascular medicine · 2024Article
- Improved visualization of free-running cardiac magnetic resonance by respiratory phase using principal component analysis.Research in diagnostic and interventional imaging · 2023Article
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Authors and funding
9 authors.
Funding
Abstract
objectivesTo prospectively evaluate the feasibility and biventricular assessment accuracy of a free-breathing cardiac cine imaging technique (RTCSCineMoCo) combined with highly accelerated real-time (RT) acquisition, compressed sensing (CS) reconstruction, and fully automated non-rigid respiratory motion correction.
methodsWe evaluated 80 patients scheduled for clinical cardiac MRI. Cardiac cine images of the same long-axis and short-axis stacks were acquired using three techniques: (1) SegBH: standard segmented cine with breath-hold; (2) RTCSCineMoCo; (3) RTCSCine: single-shot RT CS cine at 3.0 T. Image quality (IQ) was evaluated using a qualitative 5-point Likert scale and the European CMR registry standardized criteria. Quantitative parameters including left (LV) and right ventricular (RV) ejection fractions (EF), end-diastolic volumes (EDV), end-systolic volumes (ESV), stroke volumes (SV), and LV mass (LVM) were measured and compared.
resultsRTCSCineMoCo and SegBH had equivalent IQ scores (4.4 ± 0.7 vs. 4.2 ± 0.8, p = 0.066), while RTCSCine had a significantly lower IQ score than SegBH (4.0 ± 0.8 vs. 4.2 ± 0.8, p = 0.031). In a quantitative analysis, RTCSCineMoCo and SegBH yielded similar measurements for all parameters, while the majority of RTCSCine parameters were significantly different compared with SegBH, except for LVEDV.
conclusionRTCSCineMoCo is a promising method for robust free-breathing cardiac cine imaging, achieving better IQ and more precise quantitative analysis results for both ventricles compared with RTCSCine. KEY POINTS: • RTCSCineMoCo is a promising method for free-breathing cardiac MR cine imaging in daily practice. • RTCSCineMoCo provided better IQ and more precise quantitative measurements compared with RTCSCine, by extending RT data acquisition to multiple heartbeats, performing non-rigid respiratory motion correction, and signal averaging. • RTCSCineMoCo may be suitable for routine clinical use for vulnerable patients who may otherwise pose a challenge to image successfully with the conventional segmented cine technique.
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