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Cine cardiac magnetic resonance (CMR) imaging is considered the gold standard for cardiac function evaluation. However, cine CMR acquisition is inherently slow and in recent decades considerable effort has been put into accelerating scan times without compromising image quality or the accuracy of derived results. In this article, we present a fully-automated, quality-controlled integrated framework for reconstruction, segmentation and downstream analysis of undersampled cine CMR data. The framework produces high quality reconstructions and segmentations, leading to undersampling factors that are optimised on a scan-by-scan basis. This results in reduced scan times and automated analysis, enabling robust and accurate estimation of functional biomarkers. To demonstrate the feasibility of the proposed approach, we perform simulations of radial k-space acquisitions using in-vivo cine CMR data from 270 subjects from the UK Biobank (with synthetic phase) and in-vivo cine CMR data from 16 healthy subjects (with real phase). The results demonstrate that the optimal undersampling factor varies for different subjects by approximately 1 to 2 seconds per slice. We show that our method can produce quality-controlled images in a mean scan time reduced from 12 to 4 seconds per slice, and that image quality is sufficient to allow clinically relevant parameters to be automatically estimated to lie within 5% mean absolute difference.
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http://dx.doi.org/10.1109/TBME.2023.3321431 | DOI Listing |
Quant Imaging Med Surg
December 2024
Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Background: Segmented cine imaging using a balanced steady-state free precession sequence is the gold standard for accurately quantifying cardiac function and myocardial mass. However, this method suffers from inefficient K-space sampling, resulting in long scan times, and requires multiple breath holds that can be difficult for some patients. Real-time compressed sensing (CS) cine reduces image acquisition time through K-space undersampling and iterative reconstruction, enabling rapid magnetic resonance (MR) imaging.
View Article and Find Full Text PDFCardiovasc Diabetol
December 2024
Department of Cardiology, Sichuan University, Chengdu, Sichuan Province, 610041, People's Republic of China.
Background: Epicardial adipose tissue (EAT) has been suggested to play paradoxical roles in patients with heart failure. The role of EAT in dilated cardiomyopathy (DCM) patients remains unclear. We aimed to assess the associations between the dynamic changes EAT and left ventricular reverse remodeling (LVRR) in DCM patients based on baseline and follow-up CMR.
View Article and Find Full Text PDFInt J Cardiol Heart Vasc
February 2025
Department of Radiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Objectives: To evaluate the prognostic value of lateral mitral annular plane systolic excursion (MAPSE) in the prediction of major adverse cardiology events (MACE) in patients with suspected coronary artery disease (CAD).
Methods: 233 consecutive patients were enrolled with suspected CAD from October 2012 to September 2013 and performed contrast-enhanced cardiac magnetic resonance (CMR) and two-dimensional echocardiogram studies no later than 72 h after admission. CMR imaging protocol included 4-chamber cine(cine-CMR), cardiovascular magnetic resonance angiography (CMRA) and late gadolinium enhancement (LGE).
Diagnostics (Basel)
November 2024
Department of Radiology, Stanford University, Palo Alto, CA 94305, USA.
In boys with Duchenne muscular dystrophy (DMD), cardiomyopathy has become the primary cause of death. Although both positive late gadolinium enhancement (LGE) and reduced left ventricular ejection fraction (LVEF) are late findings in a DMD cohort, LV end-systolic circumferential strain at middle wall (E) serves as a biomarker for detecting early impairment in cardiac function associated with DMD. However, E derived from cine Displacement Encoding with Stimulated Echoes (DENSE) has not been quantified in boys with DMD.
View Article and Find Full Text PDFEchocardiography
December 2024
Department of Radiology, G.B. Rossi University Hospital, University of Verona, Verona, Italy.
Cardiovascular magnetic resonance imaging (CMR) has received extensive validation for the assessment of valvular heart disease (VHD) and offers an accurate and direct method for the quantification of aortic regurgitation (AR). According to the current guidelines, CMR represents a useful second-line investigation in patients with poor acoustic windows or when echocardiography is inconclusive, for example, in cases of multiple or eccentric aortic jets. Without ionizing radiation exposure, CMR provides in-depth information not only on the severity degree of AR, providing a precise quantification of regurgitant volume and fraction, but also on cardiac structure and function, being recognized as the gold standard for the assessment of heart chamber size and systolic function.
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