The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Theoretical models of the diffusion weighted MR signal
Open accessAbstract
Diffusion MRI plays a very important role in studying biological tissue structure and functioning both in health and disease. Proper interpretation of experimental data requires development of theoretical models that connect the diffusion MRI signal to salient features of tissue microstructure at the cellular level. In this review, we present some models (mostly, relevant to the brain) for describing diffusion attenuated MR signals. These range from the simplest approach, where the signal is described in terms of an apparent diffusion coefficient, to rather complicated models, where consideration is given to signals originating from extra‐ and intracellular spaces and where account is taken of the specific geometry and orientation distribution of cells. To better understand the characteristics of the diffusion attenuated MR signal arising from the complex structure of whole tissue, it is instructive to appreciate first the characteristics of the signal arising from simple single‐cell‐like structures. For this purpose, we also present here a theoretical analysis of models allowing exact analytical calculation of the MR signal, specifically, a single‐compartment model with impermeable boundaries and a periodic structure of identical cells separated by permeable membranes. Such pure theoretical models give important insights into mechanisms contributing to the MR signal formation in the presence of diffusion. In this review we targeted both scientists just entering the MR field and more experienced MR researchers interested in applying diffusion methods to study biological tissues. Copyright © 2010 John Wiley & Sons, Ltd.
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Cites
Looking into the functional architecture of the brain with diffusion MRI.
Le Bihan, D. (2003) · Nature Reviews Neuroscience · doi:10.1038/nrn1119 · Cited by 1,571
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“[1], [8] and are given by the following expressions (26):”
BackgroundMethodInfluentialAxcaliber: A method for measuring axon diameter distribution from diffusion MRI
Assaf, Y., Blumenfeld‐Katzir, T., Yovel, Y., & Basser, P. J. (2008) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21577 · Cited by 849
An analytical model of restricted diffusion in bovine optic nerve
Stanisz, G. J., Wright, G. A., Henkelman, R. M., & Szafer, A. (1997) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910370115 · Cited by 501
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Magnetic resonance microimaging of intraaxonal water diffusion in live excised lamprey spinal cord
Takahashi, M., Hackney, D. B., Zhang, G., Wehrli, S. L., Wright, A. C., O'Brien, W. T., Uematsu, H., Wehrli, F. W., & Selzer, M. E. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.252249999 · Cited by 189
Cited by
Clinical intravoxel incoherent motion and diffusion MR imaging: Past, present, and future
Iima, M., & Le Bihan, D. (2016) · Radiology · doi:10.1148/radiol.2015150244 · Cited by 498
Diffusion MRI at 25: exploring brain tissue structure and function
Le Bihan, D., & Johansen-Berg, H. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.006 · Cited by 498
Jbabdi, S., Sotiropoulos, S. N., Savio, A. M., Graña, M., & Behrens, T. E. J. (2012) · Magnetic Resonance in Medicine · doi:10.1002/mrm.24204 · Cited by 399
Zhang, F., Daducci, A., He, Y., Schiavi, S., Seguin, C., Smith, R. E., Yeh, C.-H., Zhao, T., & O’Donnell, L. J. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2021.118870 · Cited by 302
“On one hand, tractography results may vary across the large set of available diffusion models [505, 327, 6, 3] and tractography methods [28, 224, 452, 116, 38, 154, 249, 454, 214, 138, 280, 352, 484, 135].”
Diffusion Magnetic Resonance Imaging: What Water Tells Us about Biological Tissues
Le Bihan, D., & Iima, M. (2015) · PLOS Biology · doi:10.1371/journal.pbio.1002203 · Cited by 297
Metadata
- Authors
- Yablonskiy, D. A., & Sukstanskii, A. L.
- Venue
- NMR in Biomedicine
- Publisher
- Wiley
- Published
- 2010-06-03
- Volume
- 23
- Issue
- 7
- Pages
- 661-681
- ISSN
- 0952-3480 (ISSN-L)
- 1099-1492
- OpenAlex
- W1970978975
- Cited by
- 173
- References
- 6
- FWCI
- 7.96
- Type
- journal article
- Language
- en
- Open access
- green
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