Why the study?
Does an automated motion correction and co-registration method improve the image quality of myocardial ECV maps in patients undergoing CMR?
Population
952 patients referred for cardiovascular magnetic resonance assessment of known or suspected heart disease…
Comparison
Automated method for generating pixel-wise… vs ECV maps generated without motion correction and…
Design
Cohort
Authors
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Supports feasibility of automated ECV mapping in CMR; leaves open need for prospective validation before routine adoption.
Does an automated motion correction and co-registration method improve the image quality of myocardial ECV maps in patients undergoing CMR?
Fully automated motion correction and co-registration of breath-holds significantly improve the quality of ECV maps, making quantitative diffuse myocardial fibrosis assessment feasible for routine clinical workflow.
Kellman et al. (2012) studied this question.
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