The DOI matches its Crossref record; 93 of the 96 references it cites were found in a registry or an index.
Diffusion Tensor Imaging (DTI)-based White Matter Mapping in Brain Research: A Review
Abstract
Diffusion tensor imaging (DTI) has become one of the most popular MRI techniques in brain research, as well as in clinical practice. The number of brain studies with DTI is growing steadily and, over the last decade, has produced more than 700 publications. Diffusion tensor imaging enables visualization and characterization of white matter fascicli in two and three dimensions. Since the introduction of this methodology in 1994, it has been used to study the white matter architecture and integrity of the normal and diseased brains (multiple sclerosis, stroke, aging, dementia, schizophrenia, etc.). Although it provided image contrast that was not available with routine MR techniques, unique information on white matter and 3D visualization of neuronal pathways, many questions were raised regarding the origin of the DTI signal. Diffusion tensor imaging is constantly validated, challenged, and developed in terms of acquisition scheme, image processing, analysis, and interpretation. While DTI offers a powerful tool to study and visualize white matter, it suffers from inherent artifacts and limitations. The partial volume effect and the inability of the model to cope with non-Gaussian diffusion are its two main drawbacks. Nevertheless, when combined with functional brain mapping, DTI provides an efficient tool for comprehensive, noninvasive, functional anatomy mapping of the human brain. This review summarizes the development of DTI in the last decade with respect to the specificity…
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“For example, many factors (e.g., cell death, edema, gliosis, inflammation, change in myelination, increase in connectivity of crossing fibers, increase in extracellular or intracellular water, etc.) may cause changes in FA (Assaf and Pasternak, 2008; Jones et al., 2013; Le Bihan and Johansen-Berg, 2012).”
From Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review (2022) · cites this paper as Assaf and Pasternak, 2008
In the citing paper
“The FA value indicates the degree of directionality and integrity of white matter microstructures such as axons, myelin, and microtubules, and the ADC value indicates the magnitude of water diffusion (Assaf and Pasternak, 2008).”
From The Ascending Reticular Activating System from Pontine Reticular Formation to the Thalamus in the Human Brain (2013) · cites this paper as Assaf and Pasternak, 2008
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Cites
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Research works printed but not linked: 3
- Basser, P. J., Pajevic, S., Pierpaoli, C., Duda, J., & Aldroubi, A. (2000). In vivo fiber tractography using DT-MRI data. Magnetic Resonance in Medicine, 44, 625–632. · DOI
- Pasternak, O., Sochen, N., & Assaf, Y. (2004). Separation of white matter fascicles from diffusion MRI using -functional regularization. Proceedings of the International Society for Magnetic Resonance in Medicine, 12, 1227.
- Pasternak, O., Sochen, N., & Assaf, Y. (2006). PDE based estimation and regularization of multiple diffusion tensor fields. In J. Weickert & H. Hagen (Eds.), Visualization and image processing of tensor fields. Berlin: Springer.
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Jeurissen, B., Tournier, J.-D., Dhollander, T., Connelly, A., & Sijbers, J. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.07.061 · Cited by 1,484
MRtrix: Diffusion tractography in crossing fiber regions
Tournier, J., Calamante, F., & Connelly, A. (2012) · International Journal of Imaging Systems and Technology · doi:10.1002/ima.22005 · Cited by 1,370
Free water elimination and mapping from diffusion MRI
Pasternak, O., Sochen, N., Gur, Y., Intrator, N., & Assaf, Y. (2009) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22055 · Cited by 1,092
Self-citationJeurissen, B., Leemans, A., Tournier, J., Jones, D. K., & Sijbers, J. (2013) · Human Brain Mapping · doi:10.1002/hbm.22099 · Cited by 1,088
Shenton, M. E., Hamoda, H. M., Schneiderman, J. S., Sylvain Bouix, A., Pasternak, O., Yogesh Rathi, A., Vu, M.-A. T., Purohit, M. P., Helmer, K. G., Koerte, I. K., et al. (2012) · Brain Imaging and Behavior · doi:10.1007/s11682-012-9156-5 · Cited by 994
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Metadata
- Authors
- Assaf, Y., & Pasternak, O.
- Affiliations
- Tel Aviv University (IL)
- Corresponding author
- Assaf, Yaniv
- Venue
- Journal of Molecular Neuroscience
- Published
- 2007-09-27
- Volume
- 34
- Issue
- 1
- Pages
- 51-61
- ISSN
- 0895-8696 (ISSN-L)
- 1559-1166
- OpenAlex
- W1997222702
- Cited by
- 1,537
- References
- 96
- Citations by year
- 2026: 50 · 2025: 113 · 2024: 94 · 2023: 93 · 2022: 96 · 2021: 138 · 2020: 101 · 2019: 102 · 2018: 85 · 2017: 95 · 2016: 86 · 2015: 90 · 2014: 91 · 2013: 71 · 2012: 64
- FWCI
- 3.82
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Journal of Molecular Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- diffusion tensor imaging, partial volume effect, non-Gaussian diffusion, functional brain mapping, white matter integrity, multiple sclerosis, stroke, dementia, schizophrenia, brain aging
- MeSH terms
- Brain, Brain Diseases, Brain Mapping, Humans, Image Processing, Computer-Assisted, Nerve Fibers, Myelinated, Neural Pathways, Predictive Value of Tests, Reproducibility of Results, Artifacts, Diffusion Magnetic Resonance Imaging
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