4D Flow Cardiac MR Dataverse

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1 to 3 of 3 Results

Validation of aortic valve pressure gradient quantification using semi-automated 4D flow CMR pipeline Mar 31, 2022 Grafton-Clarke, Ciaran, 2022, "Validation of aortic valve pressure gradient quantification using semi-automated 4D flow CMR pipeline", https://doi.org/10.7910/DVN/OLOH39, Harvard Dataverse, V1 Data for 11 subjects who underwent peak aortic valve pressure gradient (AVPG) assessment using transthoracic echocardiography, cardiac catheterisation, and 4D-flow CMR.
Reproducibility of Left Ventricular Blood Flow Kinetic Energy Measured by Four-Dimensional Flow CMR Jun 13, 2021 - Harvard Dataverse Grafton-Clarke, Ciaran; Garg, Pankaj, 2021, "Reproducibility of Left Ventricular Blood Flow Kinetic Energy Measured by Four-Dimensional Flow CMR", https://doi.org/10.7910/DVN/JMTN02, Harvard Dataverse, V4, UNF:6:v1w26194J8Or5GoilrVCSA== [fileUNF] Reproducibility in cardiac MRI research is a pervasive issue across the field, which impacts the translational pathway. Given the relative infancy of research within 4D-flow cardiovascular magnetic resonance (CMR) imaging and the accepted potential for this imaging technique to propel our understanding of cardiovascular disease, it becomes importan...
Multimethod Comparison Dataset of Mitral Regurgitation Quantification by Cardiac Magnetic Resonance Imaging Feb 11, 2021 - Harvard Dataverse Grafton-Clarke, Ciaran; Garg, Pankaj, 2021, "Multimethod Comparison Dataset of Mitral Regurgitation Quantification by Cardiac Magnetic Resonance Imaging", https://doi.org/10.7910/DVN/XWL3ZV, Harvard Dataverse, V1, UNF:6:88xuJGOpMgs011aaOtbELA== [fileUNF] Mitral regurgitation is the second most common form of valvular heart disease.1 The strategy of management in patients with MR is largely guided by the severity of disease. Thus, accurately quantifying the severity of mitral regurgitation and differentiating between non-severe and severe mitral regurgitation is critical in the evaluation of patient...

Validation of aortic valve pressure gradient quantification using semi-automated 4D flow CMR pipeline

Mar 31, 2022

Grafton-Clarke, Ciaran, 2022, "Validation of aortic valve pressure gradient quantification using semi-automated 4D flow CMR pipeline", https://doi.org/10.7910/DVN/OLOH39, Harvard Dataverse, V1

Data for 11 subjects who underwent peak aortic valve pressure gradient (AVPG) assessment using transthoracic echocardiography, cardiac catheterisation, and 4D-flow CMR.

Reproducibility of Left Ventricular Blood Flow Kinetic Energy Measured by Four-Dimensional Flow CMR

Jun 13, 2021 - Harvard Dataverse

Grafton-Clarke, Ciaran; Garg, Pankaj, 2021, "Reproducibility of Left Ventricular Blood Flow Kinetic Energy Measured by Four-Dimensional Flow CMR", https://doi.org/10.7910/DVN/JMTN02, Harvard Dataverse, V4, UNF:6:v1w26194J8Or5GoilrVCSA== [fileUNF]

Reproducibility in cardiac MRI research is a pervasive issue across the field, which impacts the translational pathway. Given the relative infancy of research within 4D-flow cardiovascular magnetic resonance (CMR) imaging and the accepted potential for this imaging technique to propel our understanding of cardiovascular disease, it becomes importan...

Multimethod Comparison Dataset of Mitral Regurgitation Quantification by Cardiac Magnetic Resonance Imaging

Feb 11, 2021 - Harvard Dataverse

Grafton-Clarke, Ciaran; Garg, Pankaj, 2021, "Multimethod Comparison Dataset of Mitral Regurgitation Quantification by Cardiac Magnetic Resonance Imaging", https://doi.org/10.7910/DVN/XWL3ZV, Harvard Dataverse, V1, UNF:6:88xuJGOpMgs011aaOtbELA== [fileUNF]

Mitral regurgitation is the second most common form of valvular heart disease.1 The strategy of management in patients with MR is largely guided by the severity of disease. Thus, accurately quantifying the severity of mitral regurgitation and differentiating between non-severe and severe mitral regurgitation is critical in the evaluation of patient...

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