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Background The extracellular volume fraction (ECV) is a surrogate marker for diffuse myocardial fibrosis. ECV is calculated from preand post-contrast T1 maps and corrected for hematocrit (Hct). Current workflows are cumbersome, but an automated ECV map tool simplifies this and could promote adoption into routine clinical practice. We assessed the performance of automated ECV maps versus conventional manual ECV quantification in a population of healthy volunteers using a Modified Look-Locker Inversion Recovery (MOLLI) technique.

Performance of automated ECV maps versus conventionally calculated ECV