Analysis of the distribution of diffusion coefficients in cat brain at 9.4 T using the inverse Laplace transformation

Cited 35 time in webofscience Cited 0 time in scopus
  • Hit : 652
  • Download : 0
In this work, the usefulness of the inverse Laplace transformation (ILT) in the characterization of diffusion processes in the brain has been investigated. The method has been implemented on both phantom and in vivo cat brain data acquired at high resolution at 9.4 T. The results were compared with monoexponential and biexponential analyses of the same data. It is shown that in the case of diffusion restricted by white matter axonal tracts, the resulting diffusograms are in good agreement with the biexponential model. In gray matter, however, the non-monoexponential decay does not lead to a bimodal distribution in the ILT, even though the data can be fitted to a biexponential. This finding suggests the possibility of a distribution of diffusion coefficients rather than a discrete biexponential. behavior. It is shown that this distribution is sensitive, for example, to experimental parameters such as the diffusion time. Thus, the ILT offers the possibility of implementing a unique tool for the analysis of heterogeneous diffusion, that is, the analysis of the diffusion coefficient distribution, which has the yet unexplored potential of being a valuable parameter in the characterization of tissue structure. (c) 2006 Elsevier Inc. All rights reserved.
Publisher
ELSEVIER SCIENCE INC
Issue Date
2006-01
Language
English
Article Type
Article
Keywords

WATER DIFFUSION; WHITE-MATTER; MR SIGNAL; TISSUE; ATTENUATION; TENSOR; ECHO

Citation

MAGNETIC RESONANCE IMAGING, v.24, no.1, pp.61 - 68

ISSN
0730-725X
DOI
10.1016/j.mri.2005.10.023
URI
http://hdl.handle.net/10203/90891
Appears in Collection
EE-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 35 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0