Document Detail

Analysis of the distribution of diffusion coefficients in cat brain at 9.4 T using the inverse Laplace transformation.
MedLine Citation:
PMID:  16410179     Owner:  NLM     Status:  MEDLINE    
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.
Itamar Ronen; Steen Moeller; Kamil Ugurbil; Dae-Shik Kim
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't     Date:  2005-12-19
Journal Detail:
Title:  Magnetic resonance imaging     Volume:  24     ISSN:  0730-725X     ISO Abbreviation:  Magn Reson Imaging     Publication Date:  2006 Jan 
Date Detail:
Created Date:  2006-01-13     Completed Date:  2006-08-31     Revised Date:  2007-11-14    
Medline Journal Info:
Nlm Unique ID:  8214883     Medline TA:  Magn Reson Imaging     Country:  United States    
Other Details:
Languages:  eng     Pagination:  61-8     Citation Subset:  IM    
Center for Biomedical Imaging, Boston University School of Medicine, Boston, MA 02118, USA.
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MeSH Terms
Brain / anatomy & histology*
Diffusion Magnetic Resonance Imaging / methods*
Image Processing, Computer-Assisted
Phantoms, Imaging
Grant Support

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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