2022

CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping

Xu, Xiaojian, Gan, Weijie, Kothapalli, Satya V. V. N. et al.

Understand

Quantitative MRI (qMRI) refers to a class of MRI methods for quantifying the spatial distribution of biological tissue parameters.

  • Traditional qMRI methods usually deal separately with artifacts arising from accelerated data acquisition, involuntary physical motion, and magnetic-field inhomogeneities, leading to suboptimal end-to-end performance.
  • This paper presents CoRRECT, a unified deep unfolding (DU) framework for qMRI consisting of a model-based end-to-end neural network, a method for motion-artifact reduction, and a self-supervised learning scheme.
  • The network is trained to produce R2* maps whose k-space data matches the real data by also accounting for motion and field inhomogeneities.

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