The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Inferring microstructural features and the physiological state of tissues from diffusion‐weighted images
Abstract
We review several methods that have been developed to infer microstructural and physiological information about isotropic and anisotropic tissues from diffusion weighted images (DWIs). These include Diffusion Imaging (DI), Diffusion Tensor Imaging (DTI), isotropically weighted imaging, and q‐space imaging. Just as DI provides useful information about molecular displacements in one dimension with which to characterize diffusion in isotropic tissues, DTI provides information about molecular displacements in three dimensions needed to characterize diffusion is anisotropic tissues. DTI also furnishes scalar parameters that behave like quantitative histological or physiological‘stains’ for different features of diffusion. These include Trace(D), which is related to the mean diffusivity, and a family of parameters derived from the diffusion tensor, D, which characterize different features of anisotropic diffusion. Simple thought experiments and geometrical constructs, such as the diffusion ellipsoid, can be used to understand water diffusion in isotropic and anisotropic media, and the NMR experiments used to characterize it.
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Cites
Fast magnetic resonance diffusion-weighted imaging of acute human stroke
Warach, S., Chien, D., Li, W., Ronthal, M., & Edelman, R. R. (1992) · Neurology · doi:10.1212/wnl.42.9.1717 · Cited by 881
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Dysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water
Song, S.-K., Sun, S.-W., Ramsbottom, M. J., Chang, C., Russell, J., & Cross, A. H. (2002) · NeuroImage · doi:10.1006/nimg.2002.1267 · Cited by 2,582
White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI
Jones, D. K., Knösche, T. R., & Turner, R. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.06.081 · Cited by 2,402
Resting-State Functional Connectivity Reflects Structural Connectivity in the Default Mode Network
Greicius, M. D., Supekar, K., Menon, V., & Dougherty, R. F. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn059 · Cited by 2,175
Tracking neuronal fiber pathways in the living human brain
Conturo, T. E., Lori, N. F., Cull, T. S., Akbudak, E., Snyder, A. Z., Shimony, J. S., McKinstry, R. C., Burton, H., & Raichle, M. E. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.18.10422 · Cited by 1,774
Song, S.-K., Sun, S.-W., Ju, W.-K., Lin, S.-J., Cross, A. H., & Neufeld, A. H. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.07.005 · Cited by 1,738
Metadata
- Authors
- Basser, P. J.
- Venue
- NMR in Biomedicine
- Publisher
- Wiley
- Published
- 1995-11
- Volume
- 8
- Issue
- 7
- Pages
- 333-344
- ISSN
- 0952-3480 (ISSN-L)
- 1099-1492
- OpenAlex
- W1983112713
- Cited by
- 1,519
- References
- 1
- FWCI
- 3.29
- Type
- journal article
- Language
- en
- Open access
- closed
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- Basser, P. J. (1995). Inferring microstructural features and the physiological state of tissues from diffusion‐weighted images. NMR in Biomedicine. https://doi.org/10.1002/nbm.1940080707
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