Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging
Open accessAbstract
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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Q-ball imaging and diffusion spectrum imaging use richer q-space sampling to estimate an orientation distribution function representing the relative prominence of water diffusion along different spatial directions within a voxel.
“Methods such as Q-ball imaging (Tuch, 2004) and diffusion spectrum imaging (DSI) (Wedeen et al., 2005) use richer q-space sampling to estimate an orientation distribution function (ODF), representing the relative prominence of water diffusion along different spatial directions within a voxel.”
From 40 Years of diffusion MRI in the brain: From history to emerging frontiers (2026) · cites this paper as Wedeen et al., 2005
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40 Years of diffusion MRI in the brain: From history to emerging frontiers
Le Bihan, D. (2026) · Imaging Neuroscience · doi:10.1162/imag.a.1365
“Methods such as Q-ball imaging ( Tuch, 2004) and diffusion spectrum imaging (DSI) ( Wedeen et al., 2005) use richer q-space sampling to estimate an orientation distribution function (ODF), representing the relative prominence of water diffusion along different spatial directions within a voxel.”
- Authors
- Wedeen, V. J., Hagmann, P., Tseng, W. I., Reese, T. G., & Weisskoff, R. M.
- Affiliations
- Harvard University (US)
- Centre Hospitalier Universitaire Vaudois (CH)
- National Taiwan University (TW)
- Corresponding author
- Wedeen, Van J.
- Venue
- Magnetic Resonance in Medicine
- Publisher
- Wiley
- Published
- 2005-10-24
- Volume
- 54
- Issue
- 6
- Pages
- 1377-1386
- ISSN
- 0740-3194 (ISSN-L)
- 1522-2594
- OpenAlex
- W1981176642
- Cited by
- 1,339
- References
- 2
- Citations by year
- 2026: 14 · 2025: 27 · 2024: 30 · 2023: 34 · 2022: 39 · 2021: 77 · 2020: 59 · 2019: 68 · 2018: 71 · 2017: 78 · 2016: 86 · 2015: 118 · 2014: 118 · 2013: 115 · 2012: 96
- FWCI
- 24.02
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Magnetic Resonance in Medicine (publishedVersion)
- PubMed (publishedVersion)
- IRIS (submittedVersion)
- SERVAL (Université de Lausanne) (submittedVersion)
- Funders
- National Science Foundation
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- National Institutes of Health (MH64044)
- National Institute of Mental Health (1R01-MH64044, R01MH064044)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Physical Sciences › Physics and Astronomy › Nuclear and High Energy Physics › NMR spectroscopy and applications
- Keywords
- white matter tracts, tongue muscles, white matter
- MeSH terms
- Algorithms, Animals, Brain, Cattle, Fourier Analysis, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Nerve Fibers, Myelinated, Sensitivity and Specificity, Spectrum Analysis, Reproducibility of Results, Muscle, Skeletal, Muscle Fibers, Skeletal, Imaging, Three-Dimensional, Diffusion Magnetic Resonance Imaging
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