ArticleRadiology2023
Accelerated Cardiac MRI Cine with Use of Resolution Enhancement Generative Adversarial Inline Neural Network.
Open access · greenAbstract read
In one paragraph
Article in Radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
8.0field-weighted citation impact, top 2% of its field
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 35 citations in OpenAlex.
- Peak exercise-to-recovery changes in biventricular volumes and function assessed by exercise cardiovascular magnetic resonance.European heart journal. Imaging methods and practice · 2026Article
- Real-Time, Inline Quantitative MRI Enabled by Scanner-Integrated Machine Learning: A Proof of Principle With NODDI.Magnetic resonance in medicine · 2026Article
- Synthetic artificial intelligence in cardiology: from generative models to clinical applications.European heart journal open · 2026Review
- TagGen: Diffusion-based generative model for cardiac MR tagging super resolution.Magnetic resonance in medicine · 2025Article
- Free-breathing, Highly Accelerated, Single-beat, Multisection Cardiac Cine MRI with Generative Artificial Intelligence.Radiology. Cardiothoracic imaging · 2025Article
- Evaluation of the impact of cardiac implantable electronic devices on cine MRI for real-time adaptive cardiac radioablation on a 1.5 T MR-linac.Medical physics · 2025Article
- 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
- Fully automated on-scanner aortic four-dimensional flow magnetic resonance imaging processing and hemodynamic analysis.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025Article
- Quantitative myocardial blood flow and perfusion reserve with exercise cardiovascular magnetic resonance.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025Article
- Generative Artificial Intelligence in Medical Imaging: Foundations, Progress, and Clinical Translation.Research (Washington, D.C.) · 2025Review
- Conditional diffusion-generated super-resolution for myocardial perfusion MRI.Frontiers in cardiovascular medicine · 2025Article
- Right Ventricular Restrictive Physiology Is Associated With Right Ventricular Direct Flow From 4D Flow CMR.JACC. Asia · 2024Article
- [Artificial intelligence in cardiovascular radiology : Image acquisition, image reconstruction and workflow optimization].Radiologie (Heidelberg, Germany) · 2024Article
- Review
- Multi-Device Parallel MRI Reconstruction: Efficient Partitioning for Undersampled 5D Cardiac CINE.Sensors (Basel, Switzerland) · 2024Article
- Present and Future Innovations in AI and Cardiac MRI.Radiology · 2024Review
- Quantification of exercised-induced myocardial deformation with exercise CMR.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic ResonanceArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 1 institution in 3 countries.
Siyeop YoonFrom the Department of Medicine (Cardiovascular Division) (S.Y., S.N., A.A., S.A., J.C., M.A.M., P.P., B.G., J.R., W.J.M., R.N.), Department of Medicine (General Medicine Division) (L.H.N.), and Department of Radiology (W.J.M.), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Boston, MA 02215; Siemens Medical Solutions, Chicago, Ill (K.C., X.B.); and Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Mass (L.H.N.).ORCID 0000-0002-9083-4089
Shiro NakamoriFrom the Department of Medicine (Cardiovascular Division) (S.Y., S.N., A.A., S.A., J.C., M.A.M., P.P., B.G., J.R., W.J.M., R.N.), Department of Medicine (General Medicine Division) (L.H.N.), and Department of Radiology (W.J.M.), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Boston, MA 02215; Siemens Medical Solutions, Chicago, Ill (K.C., X.B.); and Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Mass (L.H.N.).
Amine AmyarFrom the Department of Medicine (Cardiovascular Division) (S.Y., S.N., A.A., S.A., J.C., M.A.M., P.P., B.G., J.R., W.J.M., R.N.), Department of Medicine (General Medicine Division) (L.H.N.), and Department of Radiology (W.J.M.), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Boston, MA 02215; Siemens Medical Solutions, Chicago, Ill (K.C., X.B.); and Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Mass (L.H.N.).ORCID 0000-0002-1689-1544
Salah AssanaFrom the Department of Medicine (Cardiovascular Division) (S.Y., S.N., A.A., S.A., J.C., M.A.M., P.P., B.G., J.R., W.J.M., R.N.), Department of Medicine (General Medicine Division) (L.H.N.), and Department of Radiology (W.J.M.), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Boston, MA 02215; Siemens Medical Solutions, Chicago, Ill (K.C., X.B.); and Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Mass (L.H.N.).ORCID 0009-0000-2134-0977
Julia CirilloFrom the Department of Medicine (Cardiovascular Division) (S.Y., S.N., A.A., S.A., J.C., M.A.M., P.P., B.G., J.R., W.J.M., R.N.), Department of Medicine (General Medicine Division) (L.H.N.), and Department of Radiology (W.J.M.), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Boston, MA 02215; Siemens Medical Solutions, Chicago, Ill (K.C., X.B.); and Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Mass (L.H.N.).ORCID 0009-0008-5254-6490
Manuel A MoralesFrom the Department of Medicine (Cardiovascular Division) (S.Y., S.N., A.A., S.A., J.C., M.A.M., P.P., B.G., J.R., W.J.M., R.N.), Department of Medicine (General Medicine Division) (L.H.N.), and Department of Radiology (W.J.M.), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Boston, MA 02215; Siemens Medical Solutions, Chicago, Ill (K.C., X.B.); and Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Mass (L.H.N.).ORCID 0000-0003-4025-7399
Kelvin ChowFrom the Department of Medicine (Cardiovascular Division) (S.Y., S.N., A.A., S.A., J.C., M.A.M., P.P., B.G., J.R., W.J.M., R.N.), Department of Medicine (General Medicine Division) (L.H.N.), and Department of Radiology (W.J.M.), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Boston, MA 02215; Siemens Medical Solutions, Chicago, Ill (K.C., X.B.); and Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Mass (L.H.N.).ORCID 0000-0003-0698-1746
Xiaoming BiFrom the Department of Medicine (Cardiovascular Division) (S.Y., S.N., A.A., S.A., J.C., M.A.M., P.P., B.G., J.R., W.J.M., R.N.), Department of Medicine (General Medicine Division) (L.H.N.), and Department of Radiology (W.J.M.), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Boston, MA 02215; Siemens Medical Solutions, Chicago, Ill (K.C., X.B.); and Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Mass (L.H.N.).ORCID 0000-0001-6286-9172
Patrick PierceFrom the Department of Medicine (Cardiovascular Division) (S.Y., S.N., A.A., S.A., J.C., M.A.M., P.P., B.G., J.R., W.J.M., R.N.), Department of Medicine (General Medicine Division) (L.H.N.), and Department of Radiology (W.J.M.), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Boston, MA 02215; Siemens Medical Solutions, Chicago, Ill (K.C., X.B.); and Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Mass (L.H.N.).ORCID 0000-0002-0774-1827
Beth GodduFrom the Department of Medicine (Cardiovascular Division) (S.Y., S.N., A.A., S.A., J.C., M.A.M., P.P., B.G., J.R., W.J.M., R.N.), Department of Medicine (General Medicine Division) (L.H.N.), and Department of Radiology (W.J.M.), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Boston, MA 02215; Siemens Medical Solutions, Chicago, Ill (K.C., X.B.); and Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Mass (L.H.N.).ORCID 0009-0006-2347-2686
Jennifer RodriguezFrom the Department of Medicine (Cardiovascular Division) (S.Y., S.N., A.A., S.A., J.C., M.A.M., P.P., B.G., J.R., W.J.M., R.N.), Department of Medicine (General Medicine Division) (L.H.N.), and Department of Radiology (W.J.M.), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Boston, MA 02215; Siemens Medical Solutions, Chicago, Ill (K.C., X.B.); and Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Mass (L.H.N.).
Long H NgoFrom the Department of Medicine (Cardiovascular Division) (S.Y., S.N., A.A., S.A., J.C., M.A.M., P.P., B.G., J.R., W.J.M., R.N.), Department of Medicine (General Medicine Division) (L.H.N.), and Department of Radiology (W.J.M.), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Boston, MA 02215; Siemens Medical Solutions, Chicago, Ill (K.C., X.B.); and Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Mass (L.H.N.).ORCID 0000-0001-9349-7981
Warren J ManningFrom the Department of Medicine (Cardiovascular Division) (S.Y., S.N., A.A., S.A., J.C., M.A.M., P.P., B.G., J.R., W.J.M., R.N.), Department of Medicine (General Medicine Division) (L.H.N.), and Department of Radiology (W.J.M.), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Boston, MA 02215; Siemens Medical Solutions, Chicago, Ill (K.C., X.B.); and Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Mass (L.H.N.).ORCID 0000-0001-7199-2543
Reza NezafatFrom the Department of Medicine (Cardiovascular Division) (S.Y., S.N., A.A., S.A., J.C., M.A.M., P.P., B.G., J.R., W.J.M., R.N.), Department of Medicine (General Medicine Division) (L.H.N.), and Department of Radiology (W.J.M.), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Boston, MA 02215; Siemens Medical Solutions, Chicago, Ill (K.C., X.B.); and Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Mass (L.H.N.).ORCID 0000-0002-1963-7138
Beth Israel Deaconess Medical Center · US
Funding
Cardiovascular MRI Characterization of the Arrhythmogenic Heart in Nonischemic CardiomyopathyR01HL129185 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI NEZAFAT, REZA · 2015 to 2024
$6.4MCardiopulmonary Exercise MRI in Heart Failure with Preserved Ejection FractionR01HL158077 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI NEZAFAT, REZA · 2021 to 2025
$3.7MGadolinium Free Cardiac MR Imaging of Scar and FibrosisR01HL154744 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI NEZAFAT, REZA · 2020 to 2023
$3.5MImaging Markers of Subclinical Cardiotoxicity in Breast CancerR01HL127015 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI NEZAFAT, REZA · 2016 to 2020
$3.5MMyocardial Tissue Characterization with MR Relaxometry in Heart FailureR01HL129157 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI NEZAFAT, REZA · 2017 to 2020
$3.2MCardiac MR-Based Risk Stratification for Heart Failure and Atrial Fibrillation in HCMR01HL158098 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI MARON, MARTIN S, NEZAFAT, REZA · 2021 to 2024
$3.0MNHLBI NIH HHS R01 HL127015NHLBI NIH HHS R01 HL129157NHLBI NIH HHS R01 HL129185NHLBI NIH HHS R01 HL154744NHLBI NIH HHS R01 HL158077NHLBI NIH HHS R01 HL158098
Abstract
Background Cardiac cine can benefit from deep learning-based image reconstruction to reduce scan time and/or increase spatial and temporal resolution. Purpose To develop and evaluate a deep learning model that can be combined with parallel imaging or compressed sensing (CS). Materials and Methods The deep learning model was built on the enhanced super-resolution generative adversarial inline neural network, trained with use of retrospectively identified cine images and evaluated in participants prospectively enrolled from September 2021 to September 2022. The model was applied to breath-hold electrocardiography (ECG)-gated segmented and free-breathing real-time cine images collected with reduced spatial resolution with use of generalized autocalibrating partially parallel acquisitions (GRAPPA) or CS. The deep learning model subsequently restored spatial resolution. For comparison, GRAPPA-accelerated cine images were collected. Diagnostic quality and artifacts were evaluated by two readers with use of Likert scales and compared with use of Wilcoxon signed-rank tests. Agreement for left ventricle (LV) function, volume, and strain was assessed with Bland-Altman analysis. Results The deep learning model was trained on 1616 patients (mean age ± SD, 56 years ± 16; 920 men) and evaluated in 181 individuals, 126 patients (mean age, 57 years ± 16; 77 men) and 55 healthy subjects (mean age, 27 years ± 10; 15 men). In breath-hold ECG-gated segmented cine and free-breathing real-time cine, the deep learning model and GRAPPA showed similar diagnostic quality scores (2.9 vs 2.9,
Indexed as
Magnetic Resonance ImagingMagnetic Resonance Imaging, CineAdultBreath HoldingHumansMaleMiddle AgedNeural Networks, ComputerReproducibility of ResultsRetrospective StudiesVentricular Function, Left
Identifiers
What OpenQuestion holds
Textmetadata
Read underepoch 390
Registered trials
None linked
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.