Utility of single-shot compressed sensing cardiac magnetic resonance cine imaging for assessment of biventricular function in free-breathing and arrhythmic pediatric patients

2021 ◽  
Author(s):  
Qing Zou ◽  
Hua-yan Xu ◽  
Chuan Fu ◽  
Xiao-yue Zhou ◽  
Rong Xu ◽  
...  
Keyword(s):  
Cardiac Magnetic Resonance ◽  
Magnetic Resonance ◽  
Compressed Sensing ◽  
Pediatric Patients ◽  
Free Breathing ◽  
Cine Imaging ◽  
Single Shot ◽  
Biventricular Function

scholarly journals Prognosis in patients with coronary heart disease and breath-holding limitations: a free-breathing cardiac magnetic resonance protocol at 3.0 T

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Keyan Wang ◽  
Wenbo Zhang ◽  
Shuman Li ◽  
Xiaoming Bi ◽  
Michaela Schmidt ◽  
...  
Keyword(s):  
Heart Failure ◽  
Cardiac Magnetic Resonance ◽  
Magnetic Resonance ◽  
Free Breathing ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Breath Holding ◽  
Single Shot ◽  
Ventricular Ejection Fraction ◽  
3.0 T

Abstract Background and purpose Conventional cardiac magnetic resonance (CCMR) imaging is usually performed with breath-holding (BH), which is adverse in patients with BH limitations. We explored the ability of a free-breathing CMR (fCMR) protocol to prognosticate in patients with coronary heart diseases (CHD) and limited BH ability. Methods Sixty-seven patients with CHD and limited BH abilities were prospectively enrolled in this study. All patients underwent comprehensive fCMR imaging at 3.0 T. The fCMR protocols included compressed sensing (CS) single-shot cine acceleration imaging, and motion-corrected (MOCO), single-shot late gadolinium enhancement (LGE) imaging. Image quality (IQ) of the cine and LGE images was evaluated based on the 5-point Likert scale. The value of fMRI in providing a prognosis in patients with CHD was assessed. Statistical methods included the T test, Mann–Whitney test, Kappa test, Kaplan–Meier curve, Log-rank test, Cox proportional hazard regression analysis, and receiver operating characteristic curves. Results All IQ scores of the short axis CS-cine and both the short and long axes MOCO LGE images were ≥ 3 points. Over a median follow-up of 31 months (range 3.8–38.2), 25 major adverse cardiovascular events (MACE) occurred. In the univariate analysis, infarction size (IS), left ventricular ejection fraction (LVEF), 3D-Global peak longitudinal strain (3D-GPLS), heart failure classification were significantly associated with MACE. When the significantly univariate MACE predictors, added to the multivariate analysis, which showed IS (HR 1.02; 95% CI 1.00–1.05; p = 0.048) and heart failure with preserved EF (HR 0.20; 95% CI 0.04–0.98; p = 0.048) correlated positively with MACE. The optimal cutoff value for LVEF, 3D-GPLS, and IS in predicting MACE was 34.2%, − 5.7%, and 26.1% respectively, with a sensitivity of 90.5%, 64%, and 96.0% and specificity of 72%, 95.2%, and 85.7% respectively. Conclusions The fCMR protocol can be used to make prognostic assessments in patients with CHD and BH limitations by calculating IS and LVEF.

scholarly journals Potential Clinical Utility of a Free-Breathing Cardiac Magnetic Resonance Imaging Protocol at 3T

2021 ◽  
Author(s):  
Keyan Wang ◽  
Wenbo Zhang ◽  
Shuman Li ◽  
Xiaoming Bi ◽  
Michaela Schmidt ◽  
...  
Keyword(s):  
Cardiac Magnetic Resonance ◽  
Magnetic Resonance ◽  
Clinical Utility ◽  
Free Breathing ◽  
Left Ventricular ◽  
Breath Holding ◽  
Diagnostic Image Quality ◽  
Single Shot ◽  
Imaging Protocol ◽  
Magnetic Resonance Imaging Protocol

Abstract Background It is hard for patients with impaired breath-holding (BH) capacity to receive conventional cardiac magnetic resonance (CCMR) imaging. Purpose To explore the clinical utility of a free-breathing (FB) CMR (FCMR) imaging protocol at 3.0T. Methods 54 selected patients with suspected heart disease were prospectively enrolled. A total of 30 patients with good BH underwent CCMR protocols first and then FCMR imaging protocols. For other 24 patients with bad BH, CCMR protocols were aborted due to limited BH capacity of patients that led to non-diagnostic image quality (IQ), and the study was finished with FCMR protocols. CCMR included segmented cine and late gadolinium enhancement (LGE) images acquired under BH. FCMR included compressed sensing (CS) accelerated, single-shot cine and motion-corrected (MOCO) single-shot LGE images acquired under FB. IQ of both protocols was evaluated based on a five-point Likert scale. The imaging time, the left ventricular function(LVF), scar presence/absence, and IQ were compared between CCMR and FCMR protocols. Results The acquisition times of the FB-CS-cine SAX (25 ± 5s), FB-CS-cine LAX(8 ± 2s), and FB-MOCO-LGE SAX (120 ± 19s), FB-MOCO-LGE LAX(37 ± 6s) were significantly shorter than these with BH-cine SAX (240 ± 13s), BH-cine LAX (75 ± 16s) and BH-LGE SAX(331 ± 29s), BH-LGE LAX(100 ± 9s) respectively (all P<0.001). For 30 patients that finished both CCMR and FCMR protocols, it was shown that IQ in FB-CS-cine is lower than BH-cine [4 (3-4) vs. 5 (4-5) , P <0.001], however FB-MOCO-LGE is better than BH-LGE [5 (4-5) vs. 3 (3-4), P <0.001]. No significant differences were found in LVF, and LGE presence(all P>0.05). The 24 patients with limited BH capabilities had inconclusive results with the CCMR protocol, but definitive diagnoses were made with the FCMR protocol. Conclusions FCMR could be used as an alternative scanning protocol in patients with BH impairments, making CMR imaging more widely available also for vulnerable patients.

scholarly journals A Deep Learning Segmentation Approach in Free-Breathing Real-Time Cardiac Magnetic Resonance Imaging

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Fan Yang ◽  
Yan Zhang ◽  
Pinggui Lei ◽  
Lihui Wang ◽  
Yuehong Miao ◽  
...  
Keyword(s):  
Deep Learning ◽  
Cardiac Magnetic Resonance ◽  
Magnetic Resonance ◽  
Cardiac Function ◽  
Data Augmentation ◽  
Function Analysis ◽  
Free Breathing ◽  
Blood Pool ◽  
Training Time ◽  
Segmentation Approach

Objectives. The purpose of this study was to segment the left ventricle (LV) blood pool, LV myocardium, and right ventricle (RV) blood pool of end-diastole and end-systole frames in free-breathing cardiac magnetic resonance (CMR) imaging. Automatic and accurate segmentation of cardiac structures could reduce the postprocessing time of cardiac function analysis. Method. We proposed a novel deep learning network using a residual block for the segmentation of the heart and a random data augmentation strategy to reduce the training time and the problem of overfitting. Automated cardiac diagnosis challenge (ACDC) data were used for training, and the free-breathing CMR data were used for validation and testing. Results. The average Dice was 0.919 (LV), 0.806 (myocardium), and 0.818 (RV). The average IoU was 0.860 (LV), 0.699 (myocardium), and 0.761 (RV). Conclusions. The proposed method may aid in the segmentation of cardiac images and improves the postprocessing efficiency of cardiac function analysis.

Magnetic resonance cholangiopancreatography at 3 Tesla: Image quality comparison between 3D compressed sensing and 2D single-shot acquisitions

2019 ◽  
Vol 115 ◽  
pp. 53-58 ◽  
Author(s):  
Fabian K. Lohöfer ◽  
Georgios A. Kaissis ◽  
Michael Rasper ◽  
Christoph Katemann ◽  
Andreas Hock ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Image Quality ◽  
Compressed Sensing ◽  
Magnetic Resonance Cholangiopancreatography ◽  
3 Tesla ◽  
Single Shot

Systematic Error in Aortic Regurgitant Fraction Measurements by Velocity-encoded Cine Imaging in Cardiac Magnetic Resonance

2008 ◽  
Vol 17 ◽  
pp. S55
Author(s):  
Andrew To ◽  
Andrew Kerr ◽  
Irene Zeng ◽  
Alistair Young ◽  
Brett Cowan ◽  
...  
Keyword(s):  
Cardiac Magnetic Resonance ◽  
Magnetic Resonance ◽  
Systematic Error ◽  
Cine Imaging ◽  
Regurgitant Fraction
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