The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
MR diffusion tensor spectroscopy and imaging
Open accessAbstract
This paper describes a new NMR imaging modality--MR diffusion tensor imaging. It consists of estimating an effective diffusion tensor, Deff, within a voxel, and then displaying useful quantities derived from it. We show how the phenomenon of anisotropic diffusion of water (or metabolites) in anisotropic tissues, measured noninvasively by these NMR methods, is exploited to determine fiber tract orientation and mean particle displacements. Once Deff is estimated from a series of NMR pulsed-gradient, spin-echo experiments, a tissue's three orthotropic axes can be determined. They coincide with the eigenvectors of Deff, while the effective diffusivities along these orthotropic directions are the eigenvalues of Deff. Diffusion ellipsoids, constructed in each voxel from Deff, depict both these orthotropic axes and the mean diffusion distances in these directions. Moreover, the three scalar invariants of Deff, which are independent of the tissue's orientation in the laboratory frame of reference, reveal useful information about molecular mobility reflective of local microstructure and anatomy. Inherently tensors (like Deff) describing transport processes in anisotropic media contain new information within a macroscopic voxel that scalars (such as the apparent diffusivity, proton density, T1, and T2) do not.
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“Diffusion MRI-based tractography has offered exclusive means to map structural connections non-invasively in animal and human brain, and is considered a very useful and powerful technique to unravel the human connectome at meso- and macro-level (Le Bihan et al. 1986; Basser et al. 1994b; Mori et al. 1999; Jones 2008; Jbabdi and Johansen-Berg 2011).”
From Diffusion MRI-based cortical connectome reconstruction: dependency on tractography procedures and neuroanatomical characteristics (2018) · cites this paper as Basser et al. 1994b
In the citing paper
“However, these parameters may not be directly related to specific aspects of tissue structure because DTI model does not consider the hindered and restricted diffusion properties in the tissue (Zhang et al. 2012a; Basser et al. 1994).”
From Neurite orientation dispersion and density imaging of mouse brain microstructure (2019) · cites this paper as Basser et al. 1994
In the citing paper
“Diffusion-weighted MRI is the only noninvasive method available for mapping fiber architecture of tissue in vivo (Le Bihan et al., 1986; Basser et al., 1994)”
From The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains (2017) · cites this paper as Basser et al., 1994
Citations
Cites
Le Bihan, D., Breton, E., Lallemand, D., Grenier, P., Cabanis, E., & Laval-Jeantet, M. (1986) · Radiology · doi:10.1148/radiology.161.2.3763909 · Cited by 3,912
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The basis of anisotropic water diffusion in the nervous system—A technical review.
Beaulieu, C. (2002) · NMR in Biomedicine · doi:10.1002/nbm.782 · Cited by 4,628
Diffusion tensor imaging: Concepts and applications
Le Bihan, D., Mangin, J., Poupon, C., Clark, C. A., Pappata, S., Molko, N., & Chabriat, H. (2001) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1076 · Cited by 3,547
Self-citationNODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain
Zhang, H., Schneider, T., Wheeler-Kingshott, C. A., & Alexander, D. C. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.072 · Cited by 3,288
MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation
Tournier, J.-D., Smith, R., Raffelt, D., Tabbara, R., Dhollander, T., Pietsch, M., Christiaens, D., Jeurissen, B., Yeh, C.-H., & Connelly, A. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116137 · Cited by 2,974
Diffusion tensor imaging of the brain
Alexander, A. L., Lee, J. E., Lazar, M., & Field, A. S. (2007) · Neurotherapeutics · doi:10.1016/j.nurt.2007.05.011 · Cited by 2,747
Metadata
- Authors
- Basser, P. J., Mattiello, J., & LeBihan, D.
- Affiliations
- National Institutes of Health (US)
- ORCID
- Basser, P.J.
- Venue
- Biophysical Journal
- Publisher
- Elsevier BV
- Published
- 1994-01
- Volume
- 66
- Issue
- 1
- Pages
- 259-267
- ISSN
- 0006-3495 (ISSN-L)
- PMC
- PMC1275686
- OpenAlex
- W1964802316
- Cited by
- 5,970
- References
- 1
- Citations by year
- 2026: 185 · 2025: 254 · 2024: 235 · 2023: 223 · 2022: 272 · 2021: 324 · 2020: 289 · 2019: 292 · 2018: 264 · 2017: 261 · 2016: 272 · 2015: 313 · 2014: 258 · 2013: 314 · 2012: 276
- FWCI
- 16.08
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Biophysical Journal (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Physical Sciences › Chemistry › Spectroscopy › NMR spectroscopy and applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- diffusion tensor imaging, anisotropic diffusion, apparent diffusivity, tissue microstructure, pulsed gradient spin echo
- MeSH terms
- Animals, Brain, Cats, Mathematics, Magnetic Resonance Spectroscopy
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