Q‐ball imaging
By David S. Tuch. Magnetic Resonance in Medicine, 2004
2,090 citations recorded by the source corpus.
Subfields: Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/f798e370c0429defb12b463babb0e5e60debb8c7
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In Pediatrics, Perinatology and Child Health
- Jacques-Donald Tournier
- Derek K. Jones
- Ben Jeurissen
- Alan Connelly
- Alexander Leemans
- Jan Sijbers
- Heidi Johansen-Berg
- Saâd Jbabdi
In Radiology, Nuclear Medicine and Imaging
- Jacques-Donald Tournier
- Olaf Sporns
- Alan Connelly
- Heidi Johansen-Berg
- Saâd Jbabdi
- Alexander Leemans
- Derek K. Jones
- Fernando Calamante
Citations in the corpus
- Advances in diffusion MRI acquisition and processing in the Human Connectome Project (2013, methodology): “Amongst them, various methods for resolving diffusion ODFs (Aganj et al., 2010; Descoteaux et al., 2007; Kamath et al., 2012; Tuch, 2004), as well as methods for non-parametric spherical deconvolution (Tournier et al.”
- About “axial” and “radial” diffusivities (2009, methodology): “We altered the elements of the second tensor only by increasing the diffusivities along x and z to obtain on-diagonal elements (5, 15, 5) 10 10m2s 1.”
- Accelerated Microstructure Imaging via Convex Optimization (AMICO) from diffusion MRI data (2015, positive): “Anon-comprehensivelistincludesmodelsthatdirectlyextend conventional DTI (Tuch et al., 2002; Schultz and Seidel, 2008; Barmpoutis et al., 2009), Persistent Angular Structure (Jansons and Alexander, 2003), Diffusion Orientation Transform (Özarslan et al., 2006), Diffusion SpectrumImaging(Wedeenetal.,2”
- A hitchhiker's guide to diffusion tensor imaging (2012, methodology): “…Q-Space Imaging (QSI), Spherical Deconvolution Model, and Persistent Angular Structure MRI (PAS-MRI) (Tuch et al., 2002; Jansons and Alexander, 2003; Tuch, 2004; Alexander et al., 2006; Wedeen et al., 2008; Assemlal et al., 2011; Tournier et al., 2011; Landman et al., 2012; Vos et al., 2012).”
- 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.”
- White matter characterization with diffusional kurtosis imaging (2011, methodology): “Several techniques for assessing non-Gaussian diffusion have been developed (Alexander et al., 2002; Jensen and Helpern, 2010; Liu et al., 2004; Maier et al., 2004; Tuch, 2004; Wedeen et al., 2005).”
- Quantitative evaluation of 10 tractography algorithms on a realistic diffusion MR phantom (2011, methodology): “ODF-SH (resp.”
- Model-based analysis of multi-shell diffusion MR data for tractography: How to get over fitting problems (2012, methodology): “Another popular method for estimating the dODF is the Qball imaging approach (39), which also attempts at reconstructing the dODF directly from the data with no assumption as to its form (model free).”
- Deterministic Diffusion Fiber Tracking Improved by Quantitative Anisotropy (2013, methodology): “However, to determine when the fiber tracking should be terminated, a lot of fiber tracking methods still use voxel-based index, such as fractional anisotropy (FA), generalized fractional anisotropy (GFA)[19], and anatomical information from T1-weighted images [20,21].”
- Partial volume effect as a hidden covariate in DTI analyses (2011, background): “Similarly, these effects are not limited to the tensor framework, but also apply to other approaches of diffusion modeling, such as spherical deconvolution and Q-ball imaging (Tournier et al., 2004; Tuch, 2004), among others.”
- Connectivity-based fixel enhancement: Whole-brain statistical analysis of diffusion MRI measures in the presence of crossing fibres (2015, methodology): “Wenotethatwhilevoxel-averagesumma-ry statistics such as generalized fractional anisotropy (Tuch, 2004) can be used to characterise model-free data derived via Diffusion Spectrum Imaging (Wedeen et al., 2005) or Q-Ball imaging (Tuch, 2004), it is impossible to derive fi xel-speci fi c quantitative…”
- White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI (2013, methodology): “(Descoteaux et al., 2009; Tuch, 2004), computed from synthetic data for two parallel”
- NTU-90: A high angular resolution brain atlas constructed by q-space diffeomorphic reconstruction (2011, methodology): “Although fiber crossing can be resolved by usingHARDI acquisition, one recent study showed that the generalized fractional anisotropy (GFA) offered by QBI is also vulnerable to the partial volume effect of crossing fibers (Fritzsche et al., 2010), indicating that studies using ODF to characterize di”
- MRtrix: Diffusion tractography in crossing fiber regions (2012, methodology): “In particular, it has been shown (Zhan and Yang, 2006; Tournier et al., 2008) to eliminate the bias present in the commonly used Q-ball approach (Tuch, 2004).”