T2 mapping from highly undersampled data by reconstruction of principal component coefficient maps using compressed sensing. - Wikidata - wikimedia - TriplyDB

T2 mapping from highly undersampled data by reconstruction of principal component coefficient maps using compressed sensing.

T2 mapping from highly undersampled data by reconstruction of principal component coefficient maps using compressed sensing.

http://www.wikidata.org/entity/Q34108292

about

Rapid 3D dynamic arterial spin labeling with a sparse model-based image reconstruction.Direct and accelerated parameter mapping using the unscented Kalman filter.T2 relaxometry with indirect echo compensation from highly undersampled data.Accelerating MR parameter mapping using sparsity-promoting regularization in parametric dimension Multiscale reconstruction for MR fingerprinting.Three-dimensional whole-heart T2 mapping at 3T.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 reconstruction Accelerating parameter mapping with a locally low rank constraint Correcting partial volume effects in biexponential T2 estimation of small lesions.Accelerated 4D quantitative single point EPR imaging using model-based reconstruction.Interpolated compressed sensing for 2D multiple slice fast MR imaging.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.Multicontrast reconstruction using compressed sensing with low rank and spatially varying edge-preserving constraints for high-resolution MR characterization of myocardial infarction.Compressive sensing in medical imaging.Biexponential T2 relaxation estimation of human knee cartilage in vivo at 3T.Model-based T1 mapping with sparsity constraints using single-shot inversion-recovery radial FLASH.Compressed sensing for body MRI.A single-shot T2 mapping protocol based on echo-split gradient-spin-echo acquisition and parametric multiplexed sensitivity encoding based on projection onto convex sets reconstruction.Improved magnetic resonance fingerprinting reconstruction with low-rank and subspace modeling.Ultrafast compartmentalized relaxation time mapping with linear algebraic modeling.Impact of denoising on precision and accuracy of saturation-recovery-based myocardial T1 mapping.MR Parametric Mapping as a Biomarker of Early Joint Degeneration.Fast comprehensive single-sequence four-dimensional pediatric knee MRI with T2 shuffling.Ramped hybrid encoding for improved ultrashort echo time imaging.T2 shuffling: Sharp, multicontrast, volumetric fast spin-echo imaging.Acceleration of MR parameter mapping using annihilating filter-based low rank hankel matrix (ALOHA).Accelerating T1ρ cartilage imaging using compressed sensing with iterative locally adapted support detection and JSENSE.Accelerated whole-brain multi-parameter mapping using blind compressed sensing.A model-based reconstruction for undersampled radial spin-echo DTI with variational penalties on the diffusion tensor Fast T2 mapping with improved accuracy using undersampled spin-echo MRI and model-based reconstructions with a generating function.MODEL-BASED MR PARAMETER MAPPING WITH SPARSITY CONSTRAINT.Model-based MR parameter mapping with sparsity constraints: parameter estimation and performance bounds.Recovery of Damped Exponentials Using Structured Low Rank Matrix Completion.Simple recipe for accurate T(2) quantification with multi spin-echo acquisitions.Accelerated exponential parameterization of T2 relaxation with model-driven low rank and sparsity priors (MORASA).PANDA-T1ρ: Integrating principal component analysis and dictionary learning for fast T1ρ mapping.On the accuracy and precision of cardiac magnetic resonance T2 mapping: A high-resolution radial study using adiabatic T2 preparation at 3 T.

P2860

Q30279025-CC2F3694-8A64-46C7-8FFE-680E44E02565 Q30352998-71C6572E-0C2C-427E-AF9E-401BAE834864 Q30577967-6F8FCC90-1D88-46BB-AC70-4F1817AB02C5 Q30580223-3493FD0B-6906-4033-9B24-978C25CBCE95 Q30693664-11A4C470-9391-41A5-B1BE-144A9071B00E Q30854192-0D03EE32-355B-4A3E-861D-7428AB0CBA6A Q30935441-5BE1C49E-7126-4D6D-8C52-2FE1A626C85F Q30936700-EC9B3E27-D886-4EE8-9127-537503468652 Q34005990-5E0E5DA2-F889-4B69-B19E-3F7D2936374A Q34362751-BCDC49DF-F20D-479F-9AA5-58FCE756FB01 Q34466176-5B4B06CC-3091-482C-B276-EEAE576BC6CE Q34586637-147A4AB3-DF68-4790-81C8-E758663473F1 Q34990213-5F4492CF-9557-44D0-B5D3-86703168A1A8 Q35118192-15D4B697-F048-4048-B144-C736868E395F Q35130852-BCE514FC-0E32-49E7-9128-1BA962FD8675 Q36125753-418B465C-431E-47EE-BCC2-B0B9682ADF9A Q36347746-920917AA-FFF3-42D4-851F-FBAE0F88BDCE Q36386113-69CB8E9F-7AD4-4ABF-97AF-89E91DB0EC71 Q38730862-D8122FD7-D3B5-42A7-87C3-565CF5ABA935 Q38782179-D247E082-85D6-4DE8-8829-4600B0B590E1 Q38798925-0E07969C-7260-400E-B949-2A7B5A9A8920 Q38836066-896B2821-B300-470E-A43A-9678AF176D3B Q38841037-3E33F078-3EAE-49D4-82E5-6B3B0F0C527F Q38855570-1FEB3A9A-24BA-43C5-BF4F-8A6930D575B7 Q38917429-0C4516A3-D8A8-439B-88C2-F4C612F9AACA Q38977550-81DF6E30-E008-4699-8DBA-51ED30A2AB1A Q39187265-4A8EA035-3EDA-485D-99E3-BCE43E6EE3EB Q40086772-C6E0E4B1-760B-405F-A57A-892C4587AD03 Q40147782-11451F93-09FD-4938-82F5-15BA85ED7AE3 Q40255678-F52DBAF7-AF99-4E7C-9B1A-BA7B711EEAD7 Q41100753-99845F1F-42E8-4915-AC78-D4572647DA32 Q41574848-CB00D7D8-6909-4205-BFE0-8E3726DF2BEE Q41862029-E9BDC9E8-6D8E-468A-85F0-628CC7358B13 Q41872768-6C56CF9B-EA0E-49E3-AFAC-BDAAAD9F5614 Q42857482-B88D0EAD-8D70-4A93-BC36-80674CD8B839 Q47762465-8D48DD33-774B-4D87-9A0B-37353AFE6E64 Q48879816-FF7CE286-7842-4481-8B06-BE5EB8096700 Q48884023-6ED1DCCC-EB2C-43AC-AA38-5E46A95AFFC4 Q50687359-E9CA9199-E3F6-473F-9AAF-96767D97E52A Q50735981-CFDF2E65-4F9B-4EDF-8732-0B8B496A92FF

P2860

T2 mapping from highly undersampled data by reconstruction of principal component coefficient maps using compressed sensing.

http://www.wikidata.org/entity/Q34108292

description

2011 nî lūn-bûn

@nan

2011 թուականի Օգոստոսին հրատարակուած գիտական յօդուած

@hyw

2011 թվականի օգոստոսին 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

T2 mapping from highly undersa ...... maps using compressed sensing.

@ast

T2 mapping from highly undersa ...... maps using compressed sensing.

@en

T2 mapping from highly undersa ...... maps using compressed sensing.

@nl

type

label

T2 mapping from highly undersa ...... maps using compressed sensing.

@ast

T2 mapping from highly undersa ...... maps using compressed sensing.

@en

T2 mapping from highly undersa ...... maps using compressed sensing.

@nl

prefLabel

T2 mapping from highly undersa ...... maps using compressed sensing.

@ast

T2 mapping from highly undersa ...... maps using compressed sensing.

@en

T2 mapping from highly undersa ...... maps using compressed sensing.

@nl

P1433

Q34108292-1CC9F245-5442-486B-A5C5-697946374C80

P1476

Q34108292-5A11D0B2-769F-4663-A8AF-30CDAE9331C8

P2093

Q34108292-5DE4AE21-C961-4934-9097-DC6162C7DE3E

Q34108292-8776AC0D-AF34-4A4E-A1AF-987AACD5ECEF

Q34108292-CD84F415-81FD-4490-ADD6-B988E1423F18

Q34108292-DE2F1C39-9E2A-4C17-A5B0-5A4135B2BBD1

P2860

Q34108292-03E0880A-B505-4B4D-B51E-E095509258F4

Q34108292-0DF389B3-CFAF-4FF6-B7FB-B752436F64BC

Q34108292-0F254B79-0709-4B8C-952A-DFA7AF588764

Q34108292-128515F9-A4F7-4754-852B-42DFA35EC046

Q34108292-144662D9-39CB-4171-AB63-215FC49300B8

Q34108292-153DD9C0-EBE1-4940-95AB-33DB0F8D41AB

Q34108292-26D9D133-072E-4CE7-81CF-533A1B09623F

Q34108292-3296E8DB-9E18-4BF6-B1C9-AF9B533C1E40

Q34108292-38BDB1FA-E909-4C6E-A0FF-E80B545EEFB8

Q34108292-46C970DC-96B4-40CF-8F8B-137C6376B8B7

P304

Q34108292-87E21E18-8AC5-473D-BA3F-230B9EAD5C54

P31

Q34108292-9A3C856E-2D92-4D64-91C7-9F3A971FD7D7

P356

Q34108292-C2701A5C-3546-4085-AC1C-FD1FE550B593

P433

Q34108292-49D5C455-5BA1-42DE-AE16-A4BE721F7F01

P478

Q34108292-3D50F5B9-008F-472D-BCCF-9EB76C05D1D6

P50

Q34108292-F48FC4C3-39B8-4E05-B469-876026ABE8E0

P577

Q34108292-E7496C17-9FE5-4EC2-A00C-FD62EADE431F

P5875

Q34108292-F21F2352-3A12-46C9-9742-E8FB967BE94E

P698

Q34108292-E9EED6D5-EAD1-46D5-AED5-350C7B4EB680

P921

Q34108292-37D9336F-4464-422E-B86D-DFCB067E1EB0

P932

Q34108292-6F77BEC9-D354-46C8-9995-A9C389EB2106

P356

P1433

Magnetic Resonance in Medicine

P1476

T2 mapping from highly undersa ...... maps using compressed sensing.

@en

P2093

Ali Bilgin

http://www.w3.org/2001/XMLSchema#string

Christian G Graff

http://www.w3.org/2001/XMLSchema#string

Eric W Clarkson

http://www.w3.org/2001/XMLSchema#string

Maria I Altbach

http://www.w3.org/2001/XMLSchema#string

P2860

Processing of radial fast spin-echo data for obtaining T2 estimates from a single k-space data set.

Differentiation of hepatic malignancies from hemangiomas and cysts by T2 relaxation times: early experience with multiply refocused four-echo imaging at 1.5 T.

Rapid water and lipid imaging with T2 mapping using a radial IDEAL-GRASE technique

New techniques for cartilage imaging: T2 relaxation time and diffusion-weighted MR imaging.

Spatial variation of T2 in human articular cartilage.

Compressed sensing reconstruction for magnetic resonance parameter mapping.

Model-based iterative reconstruction for radial fast spin-echo MRI.

Interleaved T(1) and T(2) relaxation time mapping for cardiac applications.

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

Distinguishing hepatic metastases from hemangiomas: qualitative and quantitative diagnostic performance through dual echo respiratory-triggered fast spin echo magnetic resonance imaging.

P304

1355-1366

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1002/MRM.23128

http://www.w3.org/2001/XMLSchema#string

P433

5

http://www.w3.org/2001/XMLSchema#string

P478

67

http://www.w3.org/2001/XMLSchema#string

P50

P577

2011-08-16T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

51906180

http://www.w3.org/2001/XMLSchema#string

P698

22190358

http://www.w3.org/2001/XMLSchema#string

P921

P932

3311721

http://www.w3.org/2001/XMLSchema#string