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Fig. 6 | Journal of Cardiovascular Magnetic Resonance

Fig. 6

From: Machine learning derived segmentation of phase velocity encoded cardiovascular magnetic resonance for fully automated aortic flow quantification

Fig. 6

Machine Learning Derived Aortic Flow in Relation to Cine-CMR LV Stroke Volume. a Correlations between aortic through-plane flow as quantified by fully automated machine learning algorithm and LV volumetric stroke volume as quantified on cine-CMR among patients without advanced (>mild) mitral regurgitation. Note moderate correlation between approaches (left) and non-significant differences in stroke volume (right). b Machine learning aortic flow and cine-CMR stroke volume among patients with advanced (>mild) mitral regurgitation. Note lower transaortic flow as quantified by cine-CMR consistent with decreased forward systemic output in context of mitral regurgitation.

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