MR-STAT is a framework for obtaining multi-parametric quantitative MR maps using data from single short scans. A large-scale optimization problem is solved in which spatial localisation of signal and estimation of tissue parameters are performed simultaneously by directly fitting a Bloch-based volumetric signal model to the time domain data. Previously, only data from a single receive channel could be incorporated into the reconstruction. In this work we extend the MR-STAT framework to allow parameter maps to be reconstructed from multi-coil data resulting in a more robust reconstruction process that has higher scan-efficiency and is less prone to coil shading artefacts.
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