High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity

By David S. Tuch, T. Reese, M. Wiegell, Nikos Makris, J. Belliveau, Van J. Wedeen. Magnetic Resonance in Medicine, 2002

1,688 citations recorded by the source corpus.

Subfields: Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/508cd46f8ead182f50dadec61a085ff7d195e2aa

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In Pediatrics, Perinatology and Child Health

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Anatomical accuracy of brain connections derived from diffusion MRI tractography is inherently limited (2014, methodology): “However, Dyrby et al. (55) found that someHARDImethods, such as Q-ball showed optimal tractography results with higher bvalues.”
Deterministic Diffusion Fiber Tracking Improved by Quantitative Anisotropy (2013, background): “The diffusion sampling schemes included the HARDI-253 (shell scheme) and DSI-203 (grid scheme) schemes that were previously documented in an optimization study [35].”
Resolving crossing fibres using constrained spherical deconvolution: Validation using diffusion-weighted imaging phantom data (2008, positive): “To address this issue, a number of approaches have recently been proposed to estimate fibre orientations robustly in the presence of partial volume effects (Tuch, 2004; Wedeen et al., 2005; Jansons and Alexander, 2003; Özarslan et al., 2006; Tuch et al., 2002; Hosey et al., 2005; Behrens et al., 200”
Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging (2005, neutral): “alx l [25]”
Dipy, a library for the analysis of diffusion MRI data (2014, methodology): “Due to their practical mathematical properties, there have been several proposals using spherical harmonics to describe the apparent diffusion coefﬁcient (ADC) computed from HARDI, starting from the work of Frank (2001, 2002) and Alexander et al. (2002) and Tuch et al. (2002).”
Diffusion Tensor Imaging (DTI)-based White Matter Mapping in Brain Research: A Review (2007, methodology): “Areas of tissue partial volume (where white/gray matter or white matter/CSF reside in the same pixel) or of white matter partial volume (where two fiber systems cross the same pixel often in different orientations) are examples of where the DTI model will fail (Papadakis et al. 2002; Tuch et al. 200”
Orientationally invariant indices of axon diameter and density from diffusion MRI (2010, methodology): “Unlike previous multishell HARDI acquisitions, all three variables of the PGSE sequence (gradient strength |G|, pulse width δ, and separation Δ) vary between different shells, which provides the sensitivity to axon diameter.”
Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data (2014, neutral): “First, voxels are selected for which the fractional anisotropy (FA) derived with DTI exceeds a threshold value (FA N 0.7), as these voxels are deemed to contain a single, clearly defined fibre orientation.”
Track-density imaging (TDI): Super-resolution white matter imaging using whole-brain track-density mapping (2010, positive): “Therefore, the TDI method benefits from the use of so-called high angular resolution diffusion imaging (HARDI) data (Tuch et al., 2002).”
Hemispheric asymmetries in language-related pathways: A combined functional MRI and tractography study (2006, methodology): “…of diffusion (diffusivity), the directionality of the motion (anisotropy) and the principal orientation(s) of diffusion for each voxel (Jansons and Alexander, 2003; Pierpaoli et al., 1996; Pierpaoli and Basser, 1996; Tournier et al., 2004; Tuch et al., 2002, 2003; Tuch, 2004) may be calculated.”
Visualization of image data from cells to organisms (2010, neutral): “As the number of angular samples increases (for example, in Q-Ball imaging 21 ), to resolve multiple white matter fiber populations in each voxel, the orientation distribution function, which describes the probability of diffusion in a given angular direction, becomes more complicated and can be…”
A hitchhiker's guide to diffusion tensor imaging (2012, methodology): “…1977; Stehling et al., 1991; Turner et al., 1991; Nana et al., 2008) the typical strategy employed to reduce this sensitivity (Stehling et al., 1991; Turner et al., 1991; Nana et al., 2008); however, alternative sequences, such as Fast Spin Echo (FSE) (Seifert et al., 2000; Pipe et al., 2002),…”
Diffusion spectrum magnetic resonance imaging (DSI) tractography of crossing fibers (2008, methodology): “…to alternative strategies of diffusion encoding, many methods of high angular resolution diffusion encoding have now been reported in the literature including the present method DSI (Wedeen et al., 2005), as well as Q-ball imaging (Tuch et al., 2002) and HARDI imaging (Parker and Alexander, 2005).”
Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging (2013, methodology): “With recent advances in high-angular resolution diffusion imaging (HARDI) [Tuch et al., 2002], it is now possible to reliably extract fiber orientations in regions of increased complexity [Alexander, 2006; Tournier et al.”
Tractography - where do we go from here? (2011, neutral): “…2009; Behrens et al., 2003b; Johansen-Berg et al., 2004; Tomassini et al., 2007) and (b) (Johansen-Berg et al., 2008). diffusion, and estimate these directions (as well as the number of such directions) from the diffusion data (Assaf et al., 2004; Parker and Alexander, 2003; Tuch et al., 2002).”
Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging (2003, positive): “Use of higher-resolution imaging and of analysis approaches that explicitly model complex fiber structures within a voxe”
Compartment models of the diffusion MR signal in brain white matter: A taxonomy and comparison (2012, neutral): “…• the " BallStick " model (Behrens et al., 2003), • the " Bizeppelin " model (Alexander and Barker, 2005; Parker and Alexander, 2003; Peled et al., 2006; Tuch et al., 2002), which is a three-dimensional analogue of the biexponential model (Clark and Le Bihan, 2000; Niendorf et al., 1996) •…”