Parallel Magnetic Resonance Imaging
@article{Uecker2015ParallelMR, title={Parallel Magnetic Resonance Imaging}, author={Martin Uecker}, journal={ArXiv}, year={2015}, volume={abs/1501.06209} }
The main disadvantage of Magnetic Resonance Imaging (MRI) are its long scan times and, in consequence, its sensitivity to motion. Exploiting the complementary information from multiple receive coils, parallel imaging is able to recover images from under-sampled k-space data and to accelerate the measurement. Because parallel magnetic resonance imaging can be used to accelerate basically any imaging sequence it has many important applications. Parallel imaging brought a fundamental shift in…
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References
SHOWING 1-10 OF 80 REFERENCES
Nonlinear Reconstruction Methods for Parallel Magnetic Resonance Imaging
- Mathematics
- 2009
The problem of inaccurate coil sensitivities is addressed with a new non-linear algorithm for auto-calibrated parallel imaging, which allows for a reconstruction of artefact-free images with higher acceleration factors and less reference data than previous linear approaches.
A generalized approach to parallel magnetic resonance imaging.
- PhysicsMedical physics
- 2001
A generalized formulation for parallel MR imaging is derived, demonstrating the relationship between existing techniques such as SMASH and SENSE, and suggesting new algorithms with improved performance.
Image reconstruction by regularized nonlinear inversion—Joint estimation of coil sensitivities and image content
- MathematicsMagnetic resonance in medicine
- 2008
A respective algorithm based on a Newton‐type method with appropriate regularization terms is demonstrated to improve the performance of autocalibrating parallel MRI—mainly due to a better estimation of the coil sensitivity profiles.
SENSE: Sensitivity encoding for fast MRI
- PhysicsMagnetic resonance in medicine
- 1999
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.
Parallel imaging reconstruction using automatic regularization
- MathematicsMagnetic resonance in medicine
- 2004
A reconstruction algorithm based on Tikhonov regularization is presented that reduces the SNR loss due to geometric correlations in the spatial information from the array coil elements.
Improved self-calibrated spiral parallel imaging using JSENSE.
- MathematicsMedical engineering & physics
- 2009
Model-Based Iterative Reconstruction for Radial Fast Spin-Echo MRI
- PhysicsIEEE Transactions on Medical Imaging
- 2009
Simulations and experimental results demonstrate that the proposed reconstruction method directly yields a spin-density and relaxivity map from only a single radial data set that is neither affected by the typical artifacts from TE mixing, nor by streaking artifacts from the incomplete k-space coverage at individual echo times.
Fast, iterative image reconstruction for MRI in the presence of field inhomogeneities
- GeologyIEEE Transactions on Medical Imaging
- 2003
A tool for accelerating iterative reconstruction of field-corrected MR images: a novel time-segmented approximation to the MR signal equation that uses a min-max formulation to derive the temporal interpolator.
Parallel magnetic resonance imaging as approximation in a reproducing kernel Hilbert space
- PhysicsInverse problems
- 2015
Reconstruction from samples at arbitrary locations can be understood as approximation of vector-valued functions from the acquired samples and formulated using a Reproducing Kernel Hilbert Space (RKHS) with a matrix-valued kernel defined by the spatial sensitivities of the receive coils.
Joint image reconstruction and sensitivity estimation in SENSE (JSENSE)
- Computer ScienceMagnetic resonance in medicine
- 2007
The problem of error propagation in the sequential procedure of sensitivity estimation followed by image reconstruction in existing methods, such as sensitivity encoding (SENSE) and simultaneous acquisition of spatial harmonics (SMASH), is considered and reformulates the image reconstruction problem as a joint estimation of the coil sensitivities and the desired image, which is solved by an iterative optimization algorithm.