A unified computational framework for deconvolution to reconstruct multiple fibers from diffusion weighted MRI.
about
Interpolation on the manifold of K component GMMs.Using in vivo probabilistic tractography to reveal two segregated dorsal 'language-cognitive' pathways in the human brainDiffusion tensor imaging and beyond.Probing tissue microstructure with restriction spectrum imaging: Histological and theoretical validation.Spherical Deconvolution of Multichannel Diffusion MRI Data with Non-Gaussian Noise Models and Spatial Regularization.Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use?Improving Estimation of Fiber Orientations in Diffusion MRI Using Inter-Subject Information Sharing.Mathematical methods for diffusion MRI processingThe tensor distribution functionQuantitative histological validation of diffusion MRI fiber orientation distributions in the rat brainA new methodology for the estimation of fiber populations in the white matter of the brain with the Funk-Radon transform.HARDI DATA DENOISING USING VECTORIAL TOTAL VARIATION AND LOGARITHMIC BARRIER.A review of diffusion tensor magnetic resonance imaging computational methods and software tools.Quality assessment of high angular resolution diffusion imaging data using bootstrap on Q-ball reconstruction.Parametric representation of multiple white matter fascicles from cube and sphere diffusion MRI.ATLAS CONSTRUCTION FROM HIGH ANGULAR RESOLUTION DIFFUSION IMAGING DATA REPRESENTED BY GAUSSIAN MIXTURE FIELDSHow does angular resolution affect diffusion imaging measures?Segmentation of high angular resolution diffusion MRI using sparse riemannian manifold clustering.Total Bregman divergence and its applications to DTI analysis.A Method for Automated Classification of Parkinson's Disease Diagnosis Using an Ensemble Average Propagator Template Brain Map Estimated from Diffusion MRI.Fiber Orientation and Compartment Parameter Estimation From Multi-Shell Diffusion ImagingConnectome imaging for mapping human brain pathwaysOptimal short-time acquisition schemes in high angular resolution diffusion-weighted imagingJoint Multi-Fiber NODDI Parameter Estimation and Tractography Using the Unscented Information Filter.Broca's area and its striatal and thalamic connections: a diffusion-MRI tractography study.Effects of image distortions originating from susceptibility variations and concomitant fields on diffusion MRI tractography results.Diffeomorphic image registration of diffusion MRI using spherical harmonics.Restriction Spectrum Imaging As a Potential Measure of Cortical Neurite Density in Autism.Connectivity-based structural and functional parcellation of the human cortex using diffusion imaging and tractographyA filtered approach to neural tractography using the Watson directional function.Probabilistic tractography using Lasso bootstrap.Multi-Tissue Decomposition of Diffusion MRI Signals via L0 Sparse-Group Estimation.Estimation of fiber orientations using neighborhood information.Covariant Image Representation with Applications to Classification Problems in Medical Imaging.A joint compressed-sensing and super-resolution approach for very high-resolution diffusion imaging.Estimating diffusion propagator and its moments using directional radial basis functions.Directional functions for orientation distribution estimation.Tensor kernels for simultaneous fiber model estimation and tractographyFiltered multitensor tractography.Independent component analysis-based multifiber streamline tractography of the human brain.
P2860
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P2860
A unified computational framework for deconvolution to reconstruct multiple fibers from diffusion weighted MRI.
description
2007 nî lūn-bûn
@nan
2007 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
A unified computational framew ...... s from diffusion weighted MRI.
@ast
A unified computational framew ...... s from diffusion weighted MRI.
@en
type
label
A unified computational framew ...... s from diffusion weighted MRI.
@ast
A unified computational framew ...... s from diffusion weighted MRI.
@en
prefLabel
A unified computational framew ...... s from diffusion weighted MRI.
@ast
A unified computational framew ...... s from diffusion weighted MRI.
@en
P2860
P356
P1476
A unified computational framew ...... s from diffusion weighted MRI.
@en
P2093
Baba C Vemuri
P2860
P304
P356
10.1109/TMI.2007.907552
P577
2007-11-01T00:00:00Z