The DOI matches its Crossref record; 117 of the 117 references it cites were found in a registry or an index.
Diffusion Tensor MR Imaging and Fiber Tractography: Theoretic Underpinnings
Open accessAbstract
In this article, the underlying theory of clinical diffusion MR imaging, including diffusion tensor imaging (DTI) and fiber tractography, is reviewed. First, a brief explanation of the basic physics of diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) mapping is provided. This is followed by an overview of the additional information that can be derived from the diffusion tensor, including diffusion anisotropy, color-encoded fiber orientation maps, and 3D fiber tractography. This article provides the requisite background for the second article in this 2-part review to appear next month, which covers the major technical factors that affect image quality in diffusion MR imaging, including the acquisition sequence, magnet field strength, gradient amplitude and slew rate, and multichannel radio-frequency coils and parallel imaging. The emphasis is on optimizing these factors for state-of-the-art DWI and DTI based on the best available evidence in the literature.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Spin Diffusion Measurements: Spin Echoes in the Presence of a Time-Dependent Field Gradient
Stejskal, E. O., & Tanner, J. E. (1965) · The Journal of Chemical Physics · doi:10.1063/1.1695690 · Cited by 8,286
MR diffusion tensor spectroscopy and imaging
Basser, P. J., Mattiello, J., & LeBihan, D. (1994) · Biophysical Journal · doi:10.1016/s0006-3495(94)80775-1 · Cited by 5,970
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
Estimation of the Effective Self-Diffusion Tensor from the NMR Spin Echo
Basser, P. J., Mattiello, J., & Lebihan, D. (1994) · Journal of Magnetic Resonance, Series B · doi:10.1006/jmrb.1994.1037 · Cited by 3,650
Probabilistic diffusion tractography with multiple fibre orientations: What can we gain?
Behrens, T. E. J., Berg, H. J., Jbabdi, S., Rushworth, M. F. S., & Woolrich, M. W. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.09.018 · Cited by 3,471
Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging.
Le Bihan, D., Breton, E., Lallemand, D., Aubin, M. L., Vignaud, J., & Laval-Jeantet, M. (1988) · Radiology · doi:10.1148/radiology.168.2.3393671 · Cited by 3,169
Characterization and propagation of uncertainty in diffusion-weighted MR imaging
Behrens, T. E. J., Woolrich, M. W., Jenkinson, M., Johansen‐Berg, H., Nunes, R. G., Clare, S., Matthews, P. M., Brady, J. M., & Smith, S. M. (2003) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10609 · Cited by 3,038
Diffusion tensor MR imaging of the human brain
Pierpaoli, C., Jezzard, P., Basser, P. J., Barnett, A., & Di Chiro, G. (1996) · Radiology · doi:10.1148/radiology.201.3.8939209 · Cited by 2,664
Fiber Tract–based Atlas of Human White Matter Anatomy
Wakana, S., Jiang, H., Nagae-Poetscher, L. M., van Zijl, P. C. M., & Mori, S. (2004) · Radiology · doi:10.1148/radiol.2301021640 · Cited by 1,980
Investigations on the theory of the Brownian movement
Einstein, A. (1926) · BURJC Digital (King Juan Carlos University) · Cited by 1,861
Cited by
Imaging structural and functional brain development in early childhood
Gilmore, J. H., Knickmeyer, R. C., & Gao, W. (2018) · Nature Reviews Neuroscience · doi:10.1038/nrn.2018.1 · Cited by 1,013
A hitchhiker's guide to diffusion tensor imaging
Soares, J. M., Marques, P., Alves, V., & Sousa, N. (2013) · Frontiers in Neuroscience · doi:10.3389/fnins.2013.00031 · Cited by 893
Diffusion Tensor Imaging of Mild Traumatic Brain Injury
Niogi, S. N., & Mukherjee, P. (2010) · Journal of Head Trauma Rehabilitation · doi:10.1097/htr.0b013e3181e52c2a · Cited by 379
Self-citationHeterogeneity in age-related white matter changes
Schmidt, R., Schmidt, H., Haybaeck, J., Loitfelder, M., Weis, S., Cavalieri, M., Seiler, S., Enzinger, C., Ropele, S., Erkinjuntti, T., et al. (2011) · Acta Neuropathologica · doi:10.1007/s00401-011-0851-x · Cited by 328
Challenges and limitations of quantifying brain connectivity in vivo with diffusion MRI
Jones, D. K. (2010) · Imaging in Medicine · doi:10.2217/iim.10.21 · Cited by 321
Metadata
- Authors
- Mukherjee, P., Berman, J. I., Chung, S. W., Hess, C. P., & Henry, R. G.
- Venue
- American Journal of Neuroradiology
- Published
- 2008-03-13
- Volume
- 29
- Issue
- 4
- Pages
- 632-641
- ISSN
- 0195-6108 (ISSN-L)
- 1936-959X
- OpenAlex
- W2140952088
- Cited by
- 521
- References
- 117
- FWCI
- 17.92
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Diffusion Tensor MR Imaging and Fiber Tractography: Theoretic Underpinnings. https://app.cochat.ai/papers/10.3174/ajnr.a1051
- The paper
- Mukherjee, P., Berman, J. I., Chung, S. W., Hess, C. P., & Henry, R. G. (2008). Diffusion Tensor MR Imaging and Fiber Tractography: Theoretic Underpinnings. American Journal of Neuroradiology. https://doi.org/10.3174/ajnr.a1051
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
