Non-segmented Free-breathing Cardiac Imaging using Low-rank Matrix Completion with a k-space Variant Constraint

The presented work developed a new approach to k-t space image reconstruction from highly undersampled data using low-rank matrix completion. It was found that the low-rank nature of k-t space data matrix is dependent on k-space locations due to motion sensitivity differences and k-t imaging can benefit from region-by-region image reconstruction. This work demonstrated that low-rank matrix completion can generate multi-cycle multi-phase cardiac images from non-segmented data collected at a speed of <50 ms per time frame with free-breathing, providing an approach to examining non-periodic cardiac behaviors in clinical practice.

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