Maximum likelihood estimation of signal amplitude and noise variance from MR data.
about
Multi-fiber tractography visualizations for diffusion MRI dataDenoising MRI using spectral subtraction.Automatic high-bandwidth calibration and reconstruction of arbitrarily sampled parallel MRI.Probing white-matter microstructure with higher-order diffusion tensors and susceptibility tensor MRI.The effect of excitation and preparation pulses on nonslice selective 2D UTE bicomponent analysis of bound and free water in cortical bone at 3T.Quantification of microscopic diffusion anisotropy disentangles effects of orientation dispersion from microstructure: applications in healthy volunteers and in brain tumors.Demonstration of nonlinearity bias in the measurement of the apparent diffusion coefficient in multicenter trials.Improved accuracy and precision of tracer kinetic parameters by joint fitting to variable flip angle and dynamic contrast enhanced MRI data.Improved determination of the myelin water fraction in human brain using magnetic resonance imaging through Bayesian analysis of mcDESPOT.Fast volumetric imaging of bound and pore water in cortical bone using three-dimensional ultrashort-TE (UTE) and inversion recovery UTE sequences.COmplex-Model-Based Estimation of thermal noise for fMRI data in the presence of artifacts.Sequential anisotropic multichannel Wiener filtering with Rician bias correction applied to 3D regularization of DWI dataRestoration of DWI data using a Rician LMMSE estimatorRegression Models for Identifying Noise Sources in Magnetic Resonance Images.Quantitative analysis of late gadolinium enhancement in hypertrophic cardiomyopathy.An anthropomorphic phantom for quantitative evaluation of breast MRI.A framework for accurate determination of the T₂ distribution from multiple echo magnitude MRI images.Assessment of different fitting methods for in-vivo bi-component T2* analysis of human patellar tendon in magnetic resonance imagingUltrashort echo time imaging with bicomponent analysis.Diffusion time dependence of magnetic resonance diffusion signal decays: an investigation of water exchange in human brain in vivo.Ultrashort echo time (UTE) imaging with bi-component analysis: bound and free water evaluation of bovine cortical bone subject to sequential dryingQuantitative ultrashort echo time (UTE) MRI of human cortical bone: correlation with porosity and biomechanical properties.Incorporation of Rician noise in the analysis of biexponential transverse relaxation in cartilage using a multiple gradient echo sequence at 3 and 7 Tesla.Assessment of bias in experimentally measured diffusion tensor imaging parameters using SIMEXUltrashort-echo time MR imaging of the patella with bicomponent analysis: correlation with histopathologic and polarized light microscopic findings.Ultrashort echo time bi-component analysis of cortical bone--a field dependence study.Bayesian analysis of transverse signal decay with application to human brainEvaluation of non-local means based denoising filters for diffusion kurtosis imaging using a new phantom.Monte Carlo-based noise compensation in coil intensity corrected endorectal MRI.A majorize-minimize framework for Rician and non-central chi MR imagesReliable Dual Tensor Model Estimation in Single and Crossing Fibers Based on Jeffreys Prior.Concerning the matching of magnetic susceptibility differences for the compensation of background gradients in anisotropic diffusion fibre phantoms.A robust variational approach for simultaneous smoothing and estimation of DTI.Trade-off between angular and spatial resolutions in in vivo fiber tractography.Mapping spatiotemporal diffusion inside the human brain using a numerical solution of the diffusion equationQuantitative image quality evaluation of MR images using perceptual difference models.Calculating T2 in images from a phased array receiver.Estimation and application of spatially variable noise fields in diffusion tensor imaging.A signal transformational framework for breaking the noise floor and its applications in MRI.A New Adaptive Diffusive Function for Magnetic Resonance Imaging Denoising Based on Pixel Similarity.
P2860
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P2860
Maximum likelihood estimation of signal amplitude and noise variance from MR data.
description
2004 nî lūn-bûn
@nan
2004 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2004 թվականի մարտին հրատարակված գիտական հոդված
@hy
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
name
Maximum likelihood estimation of signal amplitude and noise variance from MR data.
@ast
Maximum likelihood estimation of signal amplitude and noise variance from MR data.
@en
type
label
Maximum likelihood estimation of signal amplitude and noise variance from MR data.
@ast
Maximum likelihood estimation of signal amplitude and noise variance from MR data.
@en
prefLabel
Maximum likelihood estimation of signal amplitude and noise variance from MR data.
@ast
Maximum likelihood estimation of signal amplitude and noise variance from MR data.
@en
P356
P1476
Maximum likelihood estimation of signal amplitude and noise variance from MR data
@en
P2093
A J den Dekker
P304
P356
10.1002/MRM.10728
P577
2004-03-01T00:00:00Z