Accelerated motion corrected three-dimensional abdominal MRI using total variation regularized SENSE reconstruction

What is it about?

Respiratory motion remains a major challenge in abdominal imaging. In this work, we propose a novel framework to correct respiratory motion estimated from the data itself. This is achieved using motion resolved and motion corrected reconstructions, combined with compressed sensing.

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Why is it important?

It is shown that accurate non-rigid respiratory motion fields can be estimated from highly undersampled (up to 20x) motion resolved reconstructions of free-breathing accelerated data. Additionally, it is shown that the motion corrected reconstruction is ill-conditioned in undersampled datasets, but that good results can be achieved with total variation regularization (i.e. compressed sensing).