Fast quantitative MRI as a nonlinear tomography problem.

@article{Sbrizzi2017FastQM,
  title={Fast quantitative MRI as a nonlinear tomography problem.},
  author={Alessandro Sbrizzi and Oscar van der Heide and Martijn A. Cloos and Annette van der Toorn and H.J.M. Hoogduin and Peter R. Luijten and Cornelis A. T. van den Berg},
  journal={Magnetic resonance imaging},
  year={2017},
  volume={46},
  pages={
          56-63
        }
}

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References

SHOWING 1-10 OF 30 REFERENCES

Multiparametric imaging with heterogeneous radiofrequency fields

The results show that it is possible to perform quantitative multiparametric imaging with heterogeneous RF fields, and to liberate MRI from the traditional struggle for control over the RF field uniformity.

Practical medical applications of quantitative MR relaxometry

An overview of some promising clinical applications of quantitative relaxometry is provided, followed by a description of the methods and challenges of acquiring accurate and precise quantitative MR maps, and three case studies of quantitative relaxation applied to studying multiple sclerosis, liver iron, and acute myocardial infarction.

Compressed sensing reconstruction for magnetic resonance parameter mapping

This work presents a CS reconstruction for magnetic resonance (MR) parameter mapping, which applies an overcomplete dictionary, learned from the data model to sparsify the signal.

SENSE: Sensitivity encoding for fast MRI

The problem of image reconstruction from sensitivity encoded data is formulated in a general fashion and solved for arbitrary coil configurations and k‐space sampling patterns and special attention is given to the currently most practical case, namely, sampling a common Cartesian grid with reduced density.

Joint estimation of water/fat images and field inhomogeneity map

Two complementary methods for estimating the water/fat images and the field inhomogeneity map from Dixon‐type acquisitions based on variable projection (VARPRO) and linear prediction (LP) are described.

Rapid gradient‐echo imaging

  • B. Hargreaves
  • Medicine
    Journal of magnetic resonance imaging : JMRI
  • 2012
This work has shown that magnetization preparation can be added to gradient‐echo sequences to alter image contrast, and the flip angle also affects image contrast in all cases.

Estimation of k‐space trajectories in spiral MRI

The delay model is applied in spiral k‐space trajectory estimation to reduce image artifacts and a novel estimation method combining the anisotropic delay model and a simple convolution eddy current model further reduces the artifact level in spiral image reconstruction.

Sparse MRI: The application of compressed sensing for rapid MR imaging

Practical incoherent undersampling schemes are developed and analyzed by means of their aliasing interference and demonstrate improved spatial resolution and accelerated acquisition for multislice fast spin‐echo brain imaging and 3D contrast enhanced angiography.

Parallel imaging in non-bijective, curvilinear magnetic field gradients: a concept study

A novel and more generalized concept for spatial encoding by non-unidirectional, non- bijective spatial encoding magnetic fields (SEMs) that allow one to overcome the current limitations of neuronal nerve stimulation.

A new improved version of the realistic digital brain phantom