Low-dimensional-structure self-learning and thresholding: regularization beyond compressed sensing for MRI reconstruction.
about
Motion-compensated compressed sensing for dynamic contrast-enhanced MRI using regional spatiotemporal sparsity and region tracking: block low-rank sparsity with motion-guidance (BLOSM).Compressed sensing reconstruction for undersampled breath-hold radial cine imaging with auxiliary free-breathing data.Patch based reconstruction of undersampled data (PROUD) for high signal-to-noise ratio and high frame rate contrast enhanced liver imaging.High spatial and temporal resolution dynamic contrast-enhanced magnetic resonance angiography using compressed sensing with magnitude image subtraction.Free-breathing post-contrast three-dimensional T1 mapping: Volumetric assessment of myocardial T1 valuesAn augmented Lagrangian based compressed sensing reconstruction for non-Cartesian magnetic resonance imaging without gridding and regridding at every iteration.Accelerated free breathing ECG triggered contrast enhanced pulmonary vein magnetic resonance angiography using compressed sensingMultidimensional compressed sensing MRI using tensor decomposition-based sparsifying transformCompressed-sensing motion compensation (CosMo): a joint prospective-retrospective respiratory navigator for coronary MRI.Free-breathing combined three-dimensional phase sensitive late gadolinium enhancement and T1 mapping for myocardial tissue characterization.Local sparsity enhanced compressed sensing magnetic resonance imaging in uniform discrete curvelet domainAccelerated contrast-enhanced whole-heart coronary MRI using low-dimensional-structure self-learning and thresholding.MR Image Reconstruction Using Block Matching and Adaptive Kernel Methods.Compressed sensing reconstruction for whole-heart imaging with 3D radial trajectories: a graphics processing unit implementation.STEP: Self-supporting tailored k-space estimation for parallel imaging reconstructionAccelerated late gadolinium enhancement cardiac MR imaging with isotropic spatial resolution using compressed sensing: initial experience.Accelerated aortic flow assessment with compressed sensing with and without use of the sparsity of the complex difference imageFree-breathing 3D cardiac MRI using iterative image-based respiratory motion correction.Accelerated isotropic sub-millimeter whole-heart coronary MRI: compressed sensing versus parallel imaging.Sparse Reconstruction Techniques in Magnetic Resonance Imaging: Methods, Applications, and Challenges to Clinical Adoption.Development of Real-Time Magnetic Resonance Imaging of Mouse Hearts at 9.4 Tesla--Simulations and First ApplicationThree-dimensional heart locator and compressed sensing for whole-heart MR angiographyLocalized spatio-temporal constraints for accelerated CMR perfusion.3D late gadolinium enhancement in a single prolonged breath-hold using supplemental oxygenation and hyperventilation.Parallel computing of patch-based nonlocal operator and its application in compressed sensing MRI.An iterative approach to respiratory self-navigated whole-heart coronary MRA significantly improves image quality in a preliminary patient study.Iterative Shrinkage Algorithm for Patch-Smoothness Regularized Medical Image Recovery.Compressed sensing for rapid late gadolinium enhanced imaging of the left atrium: A preliminary study.Fast image reconstruction with L2-regularization.Clinical performance of high-resolution late gadolinium enhancement imaging with compressed sensing.Motion guided Spatiotemporal Sparsity for high quality 4D-CBCT reconstruction.Increased myocardial native T1 relaxation time in patients with nonischemic dilated cardiomyopathy with complex ventricular arrhythmia.Accelerated three-dimensional cine phase contrast imaging using randomly undersampled echo planar imaging with compressed sensing reconstruction.Gray blood late gadolinium enhancement cardiovascular magnetic resonance for improved detection of myocardial scar.Improved navigator-gated motion compensation in cardiac MR using additional constraint of magnitude of motion-corrupted data.Content-aware compressive magnetic resonance image reconstruction
P2860
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P2860
Low-dimensional-structure self-learning and thresholding: regularization beyond compressed sensing for MRI reconstruction.
description
2011 nî lūn-bûn
@nan
2011 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Low-dimensional-structure self ...... ensing for MRI reconstruction.
@ast
Low-dimensional-structure self ...... ensing for MRI reconstruction.
@en
Low-dimensional-structure self ...... ensing for MRI reconstruction.
@nl
type
label
Low-dimensional-structure self ...... ensing for MRI reconstruction.
@ast
Low-dimensional-structure self ...... ensing for MRI reconstruction.
@en
Low-dimensional-structure self ...... ensing for MRI reconstruction.
@nl
prefLabel
Low-dimensional-structure self ...... ensing for MRI reconstruction.
@ast
Low-dimensional-structure self ...... ensing for MRI reconstruction.
@en
Low-dimensional-structure self ...... ensing for MRI reconstruction.
@nl
P2093
P2860
P356
P1476
Low-dimensional-structure self ...... sensing for MRI reconstruction
@en
P2093
Beth Goddu
Kraig V Kissinger
Lois A Goepfert
Reza Nezafat
Tamer A Basha
Vahid Tarokh
P2860
P304
P356
10.1002/MRM.22841
P577
2011-04-04T00:00:00Z