Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging
Methods are presented to map complex fiber architectures in tissues by imaging the 3D spectra of tissue water diffusion with MR. First, theoretical considerations show why and under what conditions diffusion contrast is positive. Using this result, spin displacement spectra that are conventionally p...
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Published in | Magnetic resonance in medicine Vol. 54; no. 6; pp. 1377 - 1386 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Hoboken
Wiley Subscription Services, Inc., A Wiley Company
01.12.2005
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Subjects | |
Online Access | Get full text |
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Summary: | Methods are presented to map complex fiber architectures in tissues by imaging the 3D spectra of tissue water diffusion with MR. First, theoretical considerations show why and under what conditions diffusion contrast is positive. Using this result, spin displacement spectra that are conventionally phase‐encoded can be accurately reconstructed by a Fourier transform of the measured signal's modulus. Second, studies of in vitro and in vivo samples demonstrate correspondence between the orientational maxima of the diffusion spectrum and those of the fiber orientation density at each location. In specimens with complex muscular tissue, such as the tongue, diffusion spectrum images show characteristic local heterogeneities of fiber architectures, including angular dispersion and intersection. Cerebral diffusion spectra acquired in normal human subjects resolve known white matter tracts and tract intersections. Finally, the relation between the presented model‐free imaging technique and other available diffusion MRI schemes is discussed. Magn Reson Med, 2005. © 2005 Wiley‐Liss, Inc. |
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Bibliography: | National Institutes of Health - No. NIH 1 R01-MH64044 Mr. Yves Paternot Swiss National Science Foundation ark:/67375/WNG-1N4PFNS9-4 istex:9946CF6EF64456112F55903C3183F092D15A826B ArticleID:MRM20642 ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
ISSN: | 0740-3194 1522-2594 |
DOI: | 10.1002/mrm.20642 |