Towards fully automated synthetic ECV quantification: an open-access machine learning-based approach for fast blood draw-free CMR.

In summary, automated synthetic ECV yielded quantifications that (a) showed a highly significant correlation with conventional ECV at both 1.5 T and 3 T, and (b) showed good agreement with conventional ECV in the clinically critical ranges up to 35% with a decreased performance in higher ranges.

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