Machine Learning for Accelerated MR Image Reconstruction

With Kerstin Hammernik, Imperial College London

Machine Learning for Accelerated MR Image Reconstruction

In the past years, we have seen enormous developments of learning-based image reconstruction to push the acceleration factor of MR acquisitions to new limits.
In this talk, I provide an overview of how machine learning can be used for accelerated MR image reconstruction and discuss selected examples, including Variational Networks and Σ-net, in more detail. Finally, we discuss open challenges regarding training data and evaluation.

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