Diffusion‐tensor MRI: theory, experimental design and data analysis – a technical review

By Peter J. Basser, Derek K. Jones. NMR in Biomedicine, 2002

1,532 citations recorded by the source corpus.

Subfields: Orthopedics and Sports Medicine, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/8060a22c75b8921f485517ef4d5e7416115041d8

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In Orthopedics and Sports Medicine

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Assessment of the early organization and maturation of infants' cerebral white matter fiber bundles: A feasibility study using quantitative diffusion tensor imaging and tractography (2006, neutral): “In order to get information on the diffusion ''anisotropy'', images are acquired in DTI with several diffusion-encoding gradients, applied in non collinear orientations (Basser et al., 1994; for reviews Le Bihan et al., 2001; Basser and Jones, 2002).”
Diffusion Tensor Imaging (DTI)-based White Matter Mapping in Brain Research: A Review (2007, methodology): “Around the year 2000, groups used the 3D information embedded in DTI analysis to produce 3D virtual trajectories of white matter bundles (Basser et al. 2000; Conturo et al. 1999; Mori et al. 1999; Catani et al. 2002).”
A hitchhiker's guide to diffusion tensor imaging (2012, background): “…with diffusion MRI properties such as eddy current-induced distortions and general MRI issues like sensitivity to motion and B0-susceptibility artifacts (Farzaneh et al., 1990; Basser and Jones, 2002; Le Bihan et al., 2006; Kaur et al., 2007; Bammer et al., 2009; Jones and Cercignani, 2010).”
Penalized Least Squares Regression Methods and Applications to Neuroimaging (2010, positive): “FA, MD, AD, and RD were then computed using standard formulas (Basser and Jones, 2002).”
Frontal circuitry degradation marks healthy adult aging: Evidence from diffusion tensor imaging (2005, methodology): “Based on the eigenvalues, the fractional anisotropy (FA) and bulk mean diffusivity (the mean of the eigenvalues, bDN) were calculated on a voxel-by-voxel basis (Basser and Jones, 2002; Basser and Pierpaoli, 1998; Pierpaoli and Basser, 1996).”
Diffusion tensor imaging of cerebral white matter: a pictorial review of physics, fiber tract anatomy, and tumor imaging patterns. (2004, background): “A brief review of the basic principles underlying DTI is also included; several more comprehensive reviews are available for the reader who wishes to delve deeper into the technical aspects of DTI (5, 6).”
Composite hindered and restricted model of diffusion (CHARMED) MR imaging of the human brain (2005, methodology): “This measurement can be used to estimate the principal diffusivities parallel and perpendicular to coherent fiber bundles (Basser and Jones, 2002; Basser and Pierpaoli, 1996; Basser et al., 1994; Pierpaoli et al., 1996).”
White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI (2013, methodology): “, 2002) were then computed and mapped — and compared either by using manually drawn regions of interest (ROIs), by sampling the parameters of interest along a tractographically reconstructed pathway (Jones et al., 2005a) comparison of whole brain histograms, or via voxel-based search methods. The re”
Q-space trajectory imaging for multidimensional diffusion MRI of the human brain (2016, neutral): “In the context of SDE-based acquisitions, the b-matrix ismainly used to correct for cross-terms with imaging gradients (Basser and Jones, 2002).”
Compartment models of the diffusion MR signal in brain white matter: A taxonomy and comparison (2012, neutral): “• the DT (Basser and Jones, 2002; Basser et al., 1994), • the “BallStick” model (Behrens et al.”
The Development of Brain White Matter Microstructure (2018, background): “These DTI parameters are sensitive to aspects of tissue microarchitecture such as local fibre density, coherence, orientation, myelination, and overall tissue ‘integrity’ (Basser and Jones, 2002; Beaulieu, 2002).”