There is growing interest in preclinical imaging and analysis of complex flow patterns. For example, 4D flow imaging of mouse models with vascular plaques or aortic constriction could provide insights into the development and pathogenesis of cardiovascular diseases. Unfortunately, 4D-flow MRI is often compromised by a trade-off of reasonable acquisition durations and achievable spatial resolution. Our work evaluates an undersampling strategy, namely UNFOLD, for preclinical 4D flow MRI, which has the potential to decrease measurement time by 50%. Artifacts emerging from the undersampling are removed by unaliasing in the temporal domain using a lowpass filter after fourier transformation.
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