Compressed sensing reconstruction for magnetic resonance parameter mapping.
about
Direct and accelerated parameter mapping using the unscented Kalman filter.Magnetic resonance fingerprinting.Model-based reconstruction of undersampled diffusion tensor k-space data.T2 relaxometry with indirect echo compensation from highly undersampled data.Accelerating MR parameter mapping using sparsity-promoting regularization in parametric dimensionCompressed sensing CPMG with group-sparse reconstruction for myelin water imagingCompressed sensing reconstruction for undersampled breath-hold radial cine imaging with auxiliary free-breathing data.Multiscale reconstruction for MR fingerprinting.Rapid and accurate T2 mapping from multi-spin-echo data using Bloch-simulation-based reconstruction.Interrogation of living myocardium in multiple static deformation states with diffusion tensor and diffusion spectrum imaging.Three-dimensional whole-heart T2 mapping at 3T.Reconstruction of dynamic image series from undersampled MRI data using data-driven model consistency condition (MOCCO).Accelerated T1ρ acquisition for knee cartilage quantification using compressed sensing and data-driven parallel imaging: A feasibility study.Accelerated and motion-robust in vivo T2 mapping from radially undersampled data using bloch-simulation-based iterative reconstructionThree-dimensional dictionary-learning reconstruction of (23)Na MRI data.Toward individualized SAR models and in vivo validation.Accelerating parameter mapping with a locally low rank constraintT2 mapping from highly undersampled data by reconstruction of principal component coefficient maps using compressed sensing.An augmented Lagrangian based compressed sensing reconstruction for non-Cartesian magnetic resonance imaging without gridding and regridding at every iteration.Low-dimensional-structure self-learning and thresholding: regularization beyond compressed sensing for MRI reconstruction.Accelerated 4D quantitative single point EPR imaging using model-based reconstruction.Model-based Acceleration of Parameter mapping (MAP) for saturation prepared radially acquired data.Interpolated compressed sensing for 2D multiple slice fast MR imaging.Image reconstruction: an overview for clinicians.Accelerated cardiac T2 mapping using breath-hold multiecho fast spin-echo pulse sequence with k-t FOCUSS.T2 mapping of the heart with a double-inversion radial fast spin-echo method with indirect echo compensation.Accelerated MR parameter mapping with low-rank and sparsity constraints.Preclinical MR fingerprinting (MRF) at 7 T: effective quantitative imaging for rodent disease modelsModel-based acceleration of look-locker T1 mapping.Robustness of quantitative compressive sensing MRI: the effect of random undersampling patterns on derived parameters for DCE- and DSC-MRIFast cardiac T1 mapping in mice using a model-based compressed sensing method.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.Free-breathing, motion-corrected, highly efficient whole heart T2 mapping at 3T with hybrid radial-cartesian trajectory.MPnRAGE: A technique to simultaneously acquire hundreds of differently contrasted MPRAGE images with applications to quantitative T1 mapping.Compressive sensing in medical imaging.Accelerated fluorine-19 MRI cell tracking using compressed sensing.Rapid 3D-imaging of phosphocreatine recovery kinetics in the human lower leg muscles with compressed sensing.Fast group matching for MR fingerprinting reconstructionRank awareness in group-sparse recovery of multi-echo MR images.
P2860
Q30352998-6BDAEC93-6B6B-4277-9FD2-B0AA5DB8601BQ30537825-2A66EFBB-2CC3-43EB-8569-0676DA64A0E9Q30571344-E34F94CF-D480-4A9D-8B9D-1B4CFD9B6A9EQ30577967-6E4C9ED2-7D5C-4FE2-9B15-EE4DE9BCAD09Q30580223-73332CBF-1978-44D9-AE0E-A83AE4415B88Q30649931-17AC36D3-7E21-4C59-A2E3-29F47645A671Q30655469-B3DF59B7-75EA-4D98-9252-57ABC46570DAQ30693664-21981F77-DCEC-48BF-BE86-3D0BA99DA270Q30781192-93CC13DE-EE09-44C8-AB7C-FDD9DEBD4894Q30842324-A510B25D-40C6-41FA-A7D2-5FD1FD368047Q30854192-7662C116-C201-471A-81A7-24043C2A7606Q30870005-FB0B52F6-6314-418B-9161-6A57125CC67FQ30935441-A9EDA0F4-DAA8-4B0C-9E38-7601BA9F8192Q30936700-37982D61-952A-4B4F-80B0-50A5B4FAC688Q30954347-A6A0362F-B7FB-4FF1-84D6-93A0549DB6B3Q33918619-CA40EB4C-73BF-4777-9AAA-B6CE3E7D77F3Q34005990-D34028CA-366C-4919-990F-4AC5F2A270ECQ34108292-153DD9C0-EBE1-4940-95AB-33DB0F8D41ABQ34172440-454DEBE6-C6FD-41B4-BAC4-08EF289EB470Q34418951-BB746848-A4F6-4A2B-9247-C636D074BEA8Q34466176-C18843D7-8473-417C-9BBA-CA3B3C6A1DE2Q34547093-236C8F99-4449-42DC-9581-FE59A5AB6E06Q34586637-50BABDA9-F577-4EAA-B2D3-82870B51DBEEQ34774065-A7E79F4D-5BC2-4263-8FF7-202C2360FF3EQ34990213-421B7D8E-B746-44F4-BEE6-E754C7FACC2BQ35118192-DB93BB02-B050-4234-AF4C-430C0EF54D67Q35130852-F997B5B8-D66E-424C-B2B9-5FCB730F3F1BQ35411926-FC5BD728-9707-4D2C-9139-AF17C5F0C239Q35599072-45FFE40F-2855-448F-9F27-D3A16A48C61DQ35786155-78825712-A8E8-49A5-82CD-35F7B8BB310FQ35884161-31159F62-4C25-4893-851B-2306687F1CC6Q35999838-B3A9A35A-BFD5-461B-A000-4FB27E0D878DQ36020486-6B8932CC-AA9A-40E1-A90E-EFD890DF1505Q36031686-0E0E5CE6-FDCE-4FC4-9B06-2BA101261BF5Q36172346-E5715294-3842-45BE-854C-DE058C50DCBAQ36347746-3B5E068E-B242-4222-B57A-815D5A9E30EBQ36388974-355BB623-4C76-4BA1-9DD2-6838D06D8ADBQ36418494-E16E1454-09C4-4BD4-A7AB-B9CCE6874C04Q36429005-EC0C3567-7499-4F96-9847-60EDACCBF412Q36858335-9CF3D24B-ADB1-4555-8CFA-1932DAFAD8B2
P2860
Compressed sensing reconstruction for magnetic resonance parameter mapping.
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年学术文章
@wuu
2010年学术文章
@zh
2010年学术文章
@zh-cn
2010年学术文章
@zh-hans
2010年学术文章
@zh-my
2010年学术文章
@zh-sg
2010年學術文章
@yue
2010年學術文章
@zh-hant
name
Compressed sensing reconstruction for magnetic resonance parameter mapping.
@en
Compressed sensing reconstruction for magnetic resonance parameter mapping.
@nl
type
label
Compressed sensing reconstruction for magnetic resonance parameter mapping.
@en
Compressed sensing reconstruction for magnetic resonance parameter mapping.
@nl
prefLabel
Compressed sensing reconstruction for magnetic resonance parameter mapping.
@en
Compressed sensing reconstruction for magnetic resonance parameter mapping.
@nl
P2093
P356
P1476
Compressed sensing reconstruction for magnetic resonance parameter mapping.
@en
P2093
Alfred Mertins
Christian Stehning
Holger Eggers
Julien Sénégas
Mariya Doneva
Peter Börnert
P304
P356
10.1002/MRM.22483
P577
2010-10-01T00:00:00Z