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.
