Accelerated MR Parameter Mapping Using Robust Model-Consistency Reconstruction

Model-based reconstruction of undersampled data is a popular strategy to accelerate MR parameter mapping. In practice, however, the model-based strategy may lead to sub-optimal performance because actual signal may deviate from the model in many voxels (e.g., due to modeling simplifications, partial voluming, motion, etc). In this work, we propose a new model-based reconstruction technique, whose intrinsic insensitivity to the model mismatch in such voxels results in improved reconstruction of MR parameter maps.

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