Does Temporal Regularization Lead to Systematic Underestimation of Ejection Fraction?

In clinical practice breath-hold ECG-synchronized cine protocols remain the preferred method for the assessment of the ejection fraction of the ventricles. Recent research aims for real-time free-breathing CMR by combining fast imaging se-quences with parallel imaging and compressed sensing. However, recent work reports a 10% underestimation of the ejec-tion fraction by real-time CMR. We reproduce these results with golden-angle radial sparse SENSE and show that the underestimation might be explained by the strong temporal regularization that is needed to reconstruct the highly under-sampled CMR images.

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