A signal transformational framework for breaking the noise floor and its applications in MRI.
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Spherical Deconvolution of Multichannel Diffusion MRI Data with Non-Gaussian Noise Models and Spatial Regularization.Retrospective correction of bias in diffusion tensor imaging arising from coil combination mode.Mean apparent propagator (MAP) MRI: a novel diffusion imaging method for mapping tissue microstructureA framework for accurate determination of the T₂ distribution from multiple echo magnitude MRI images.A framework for the analysis of phantom data in multicenter diffusion tensor imaging studiesA 4D hyperspherical interpretation of q-spacePCATMIP: enhancing signal intensity in diffusion-weighted magnetic resonance imagingInfluence of noise correction on intra- and inter-subject variability of quantitative metrics in diffusion kurtosis imaging4D hyperspherical harmonic (HyperSPHARM) representation of surface anatomy: a holistic treatment of multiple disconnected anatomical structuresTemporal scaling characteristics of diffusion as a new MRI contrast: findings in rat hippocampus.Sparse and optimal acquisition design for diffusion MRI and beyondImproved diffusion imaging through SNR-enhancing joint reconstruction.A majorize-minimize framework for Rician and non-central chi MR imagesImage denoising substantially improves accuracy and precision of intravoxel incoherent motion parameter estimates.Tract Orientation and Angular Dispersion Deviation Indicator (TOADDI): A framework for single-subject analysis in diffusion tensor imaging.Probabilistic Identification and Estimation of Noise (PIESNO): a self-consistent approach and its applications in MRI.5-Year imaging sequelae of concussive blast injury and relation to early clinical outcome.A fast algorithm for denoising magnitude diffusion-weighted images with rank and edge constraints.Denoising diffusion-weighted magnitude MR images using rank and edge constraints.Analysis of the effects of noise, DWI sampling, and value of assumed parameters in diffusion MRI models.Fisher information and Cramér-Rao lower bound for experimental design in parallel imaging.Pseudometrically constrained centroidal voronoi tessellations: Generating uniform antipodally symmetric points on the unit sphere with a novel acceleration strategy and its applications to diffusion and three-dimensional radial MRI.Influence of the size and curvedness of neural projections on the orientationally averaged diffusion MR signal.Anisotropic phantom to calibrate high-q diffusion MRI methods.Angular Upsampling in Infant Diffusion MRI Using Neighborhood Matching in - Space
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P2860
A signal transformational framework for breaking the noise floor and its applications in MRI.
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article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 06 December 2008
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
A signal transformational fram ...... r and its applications in MRI.
@en
A signal transformational fram ...... r and its applications in MRI.
@nl
type
label
A signal transformational fram ...... r and its applications in MRI.
@en
A signal transformational fram ...... r and its applications in MRI.
@nl
prefLabel
A signal transformational fram ...... r and its applications in MRI.
@en
A signal transformational fram ...... r and its applications in MRI.
@nl
P2860
P1476
A signal transformational fram ...... or and its applications in MRI
@en
P2093
Cheng Guan Koay
Peter J Basser
P2860
P304
P356
10.1016/J.JMR.2008.11.015
P577
2008-12-06T00:00:00Z