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Background Right ventricular (RV) function has important prognostic value in both rightand left-sided acquired and congenital heart diseases (1). Assessment of RV function is challenging because of its complex crescent shaped geometry and load conditions being significantly influenced by respiration. Incremental insights into RV blood flow patterns have the potential to add to our understanding of RV function (2), but remain incompletely characterized.

Visualization and quantification of 4D blood flow distribution and energetics in the right ventricle