Cited by 1,548Advanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and ApplicationsFunctional Brain Connectivity Studies

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High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity

Tuch, David S., Reese, Timothy G., Wiegell, Mette R., Makris, Nikos, Belliveau, John W., Wedeen, Van J.·2002·Magnetic Resonance in Medicine

DOI 10.1002/mrm.10268

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Abstract

Magnetic resonance (MR) diffusion tensor imaging (DTI) can resolve the white matter fiber orientation within a voxel provided that the fibers are strongly aligned. However, a given voxel may contain a distribution of fiber orientations due to, for example, intravoxel fiber crossing. The present study sought to test whether a geodesic, high b-value diffusion gradient sampling scheme could resolve multiple fiber orientations within a single voxel. In regions of fiber crossing the diffusion signal exhibited multiple local maxima/minima as a function of diffusion gradient orientation, indicating the presence of multiple intravoxel fiber orientations. The multimodality of the observed diffusion signal precluded the standard tensor reconstruction, so instead the diffusion signal was modeled as arising from a discrete mixture of Gaussian diffusion processes in slow exchange, and the underlying mixture of tensors was solved for using a gradient descent scheme. The multitensor reconstruction resolved multiple intravoxel fiber populations corresponding to known fiber anatomy. Ma

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Beyond the Gaussian Model in Diffusion-Weighted Imaging: The Packagedti
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“However, the Gaussian model of anisotropic diffusion can be considered as the low spatial frequency approximation to the diffusion propagator in case of restricted diffusion (Tuch et al. 2002).”
BackgroundMethodInfluential
An Analytical Model for Estimating Water Exchange Rate in White Matter Using Diffusion MRI
Davoodi‐Bojd, E., Chopp, M., Hamid Soltanian-zadeh, A., Wang, S., Ding, G., & Jiang, Q. (2014) · PLoS ONE · doi:10.1371/journal.pone.0095921 · Cited by 8
“To reduce the dependence on the fiber orientation, Alexander et al. [26] proposed a four compartment model consisting of intra-axonal space, extra-axonal space, CSF, and glial cells combined with a multi-shell HARDI data acquisition.”
Background
Assessment of severity of leukoaraiosis: a diffusional kurtosis imaging study
Xu, S., Ye, D., Lian, T., Cai, J., Xiao, Z., Huang, Y., Chen, X., & Zhang, Z. (2016) · Clinical Imaging · doi:10.1016/j.clinimag.2016.02.018 · Cited by 8
“Although the orientational neuroarchitecture can be inferred from DTI, the heterogeneity within a voxel is often difficult to resolve [5].”
Background
White matter structure assessment from reduced HARDI data using low-rank polynomial approximations.
Gur, Y., Jiao, F., Zhu, S. X., & Johnson, C. R. (2012) · PubMed · Cited by 8
Diffantom: Whole-Brain Diffusion MRI Phantoms Derived from Real Datasets of the Human Connectome Project
Estéban, O., Caruyer, E., Daducci, A., Cuadra, M. B., Ledesma‐Carbayo, M. J., & Santos, A. (2016) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2016.00004 · Cited by 8
“These tools generally implemented the 19 multi-tensor model (Alexander et al., 2001; Tuch et al., 2002) to simulate fiber crossing, fanning, kissing, 20”
Method
Quantitative Comparison of Spherical Deconvolution Approaches to Resolve Complex Fiber Configurations in Diffusion MRI: ISRA-Based vs L2L0 Sparse Methods
Mastropietro, A., Scifo, P., & Rizzo, G. (2017) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2017.2676980 · Cited by 8
Association of iron levels in hair with brain structures and functions in young adults
Takeuchi, H., Taki, Y., Nouchi, R., Yokoyama, R., Kotozaki, Y., Nakagawa, S., Sekiguchi, A., Iizuka, K., Yamamoto, Y., Hanawa, S., et al. (2019) · Journal of Trace Elements in Medicine and Biology · doi:10.1016/j.jtemb.2019.126436 · Cited by 8
“However, in areas where fibers cross, the associations between myelination and FA become unclear [72], and the corpus callosum (which does not have crossed fibers) may be sensitive to the findings.”
Background
Diffusion Kurtosis Imaging Fiber Tractography of Major White Matter Tracts in Neurosurgery
Bopp, M. H. A., Emde, J., Carl, B., Nimsky, C., & Saß, B. (2021) · Brain Sciences · doi:10.3390/brainsci11030381 · Cited by 8
“Further complex and sophisticated methods of modeling diffusion properties exist, based on single- or multi-shell high-angular resolution diffusion imaging (HARDI) acquisition techniques [17,18], applying different models such as Q-ball imaging [19], diffusion spectrum imaging (DSI) [20], or compressed sensing techniq…”
BackgroundMethod
A Fiber Dissection Study of the Anterior Commissure: Correlations with Diffusion Spectrum Imaging Tractography and Clinical Relevance in Gliomas
Liu, X., Kinoshita, M., Shinohara, H., Hori, O., Ozaki, N., & Nakada, M. (2021) · Brain Topography · doi:10.1007/s10548-021-00879-5 · Cited by 8
“DTI can accurately define the fiber orientation of a voxel containing fibers with coherent directions, but cannot define directions of heterogeneous fibers presented with crossing or kissing patterns (Frank 2001, 2002; Tuch et al. 2002; Wiegell et al. 2000).”
Background
Tensor kernels for simultaneous fiber model estimation and tractography
Yogesh Rathi, A., Malcolm, J. G., Michailovich, O., Westin, C., Shenton, M. E., & Sylvain Bouix, A. (2010) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22292 · Cited by 8
“(34) showed that at a b-value of 1000 the maximum number of detectable fibers is two, several other studies restricted their analysis to two-fiber models due to problems with estimating more than two components (6,7,23).”
Background
Reconstruction of Scattered Data in Fetal Diffusion MRI
Oubel, E., Koob, M., Studholme, C., Dietemann, J., & Rousseau, F. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15705-9_70 · Cited by 8
“As the proposed method does not assume any diffusion model, the generated data can be used to study diffusion patterns even in IVOH.”
Method
Fast diffusion imaging with high angular resolution
Chao, T. C., Chiou, J. G., Maier, S. E., & Madore, B. (2016) · Magnetic Resonance in Medicine · doi:10.1002/mrm.26163 · Cited by 8
“q̂y ;kd 1⁄4 min q̂ jsky ;d EyHF H d r̂y ;kd j 2 2 þ ljM (1)q̂y ;kd j 2 2 ; [2]”
Fiber Orientation Distribution Estimation Using a Peaceman--Rachford Splitting Method
Chen, Y., Dai, Y., & Han, D. (2016) · SIAM Journal on Imaging Sciences · doi:10.1137/15m1026626 · Cited by 8
“[57] raised a cheap DW-MRI sampling method named the high angular resolution diffusion imaging (HARDI), which collects DW-MRI signals in gradient orientations located on a semisphere with a fixed b-value.”
BackgroundMethod
Early blindness is associated with increased volume of the uncinate fasciculus
Bauer, C. M., Cattaneo, Z., & Merabet, L. B. (2018) · European Journal of Neuroscience · doi:10.1111/ejn.13848 · Cited by 8
“imaging (DTI) techniques provide information regarding the degree of water diffusivity in the brain in order to derive local axonal fiber orientation, HARDI utilizes a stronger diffusion gradient than DTI and is able to resolve multiple fiber orientations within each voxel (Tuch et al., 2002).”
BackgroundMethodInfluential
Accelerated High Spatial Resolution Diffusion-Weighted Imaging
Scherrer, B., Afacan, O., Taquet, M., Prabhu, S. P., Gholipour, A., & Warfield, S. K. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-19992-4_6 · Cited by 8
“This was achieved by assessing in two single fascicle regions 1) the average relative error of cFA; and 2) the average minimum angle (AMA) error [13].”
Method
White Matter Tractography and Diffusion‐Weighted Imaging
Vettel, J. M., Cooper, N., Garcia, J. O., Yeh, F.-C. F., & Verstynen, T. (2017) · Wiley eBooks · doi:10.1002/9780470015902.a0027162 · Cited by 9
Local structural connectivity directs seizure spread in focal epilepsyPreprint
Shah, P., Ashourvan, A., Mikhail, F., Pines, A., Kini, L. G., Shinohara, R., Bassett, D., Litt, B., & Davis, K. (2018) · bioRxiv · doi:10.1101/406793 · Cited by 14
“These approaches reveal a wide variety of network disruptions in epilepsy patients, both structurally [Raj et al., 2010; Taylor et al., 2015; Vaessen et al., 2012] and functionally [de Campos et al., 2016; Pedersen et al., 2015; Pittau et al., 2012].”
Background
TractEM: Fast Protocols for Whole Brain Deterministic Tractography-Based White Matter AtlasPreprint
Bayrak, R. G., Wang, X., Schilling, K. G., Greer, J. M., Hansen, C. B., Blaber, J. A., Williams, O. A., Beason‐Held, L. L., Resnick, S. M., Rogers, B. P., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/651935 · Cited by 8
“HARDI models are capable of characterizing multiple directions and resolving crossing fiber issues (Tuch, 1999; Tuch et al., 2002; Descoteaux et al., 2007).”
Background
Multi-tensor fixel-based metrics in tractometry: application to multiple sclerosis
Hernández-Gutiérrez, E., Coronado‐Leija, R., Edde, M., Dumont, M., Houde, J., Baraković, M., Magon, S., Ramírez-Manzanares, A., & Descoteaux, M. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1467786 · Cited by 6
Toward an accurate multi-fiber assessment strategy for clinical practice
Scherrer, B., & Warfield, S. K. (2011) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2011.5872836 · Cited by 7
“Three major sampling schemes have been proposed for complex structure assessment: cartesian sampling, single-shell and multiple-shell spherical sampling (high angular resolution diffusion imaging, HARDI).”
Background
Characterization of the orientation dependence of magnetization transfer measures in single and crossing‐fiber white matter
Karan, P., Edde, M., Gilbert, G., Baraković, M., Magon, S., & Descoteaux, M. (2024) · Magnetic Resonance in Medicine · doi:10.1002/mrm.30195 · Cited by 7
“Although this is not robust in voxels of crossing fibers, 21 which represent a large fraction of the voxels in the brain, 22,23 it still prevails in single-fiber voxels.”
Normal relationship of the cervicomedullary junction with the obex and olivary bodies: a comparison of cadaveric dissection and in vivo diffusion tensor imaging
Middlebrooks, E. H., Yağmurlu, K., Bennett, J., & Bidari, S. (2014) · Surgical and Radiologic Anatomy · doi:10.1007/s00276-014-1387-2 · Cited by 7
“Some examples include high angular resolution diffusion imaging (HARDI) [17], spherical harmonic decomposition [1], q-space imaging [10], diffusion spectrum imaging (DSI) [21], and generalized q-sampling imaging method (GQI) [27].”
Background
Diffusion tensor imaging: techniques and clinical applications
Zhou, X. J. (2005) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2004.1404460 · Cited by 7
“Two examples are diffusion spectroscopic imaging (DSI) [10] and high angular resolution diffusion (HARD) imaging [11].”
Background
Improving the Predictions of Computational Models of Convection-Enhanced Drug Delivery by Accounting for Diffusion Non-gaussianity
Messaritaki, E., Rudrapatna, S. U., Parker, G. D., Gray, W., & Jones, D. K. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.01092 · Cited by 7
JEDI:JointEstimationDiffusionImaging of macroscopic and microscopic tissue properties
Frank, L. R., Zahneisen, B., & Galinsky, V. L. (2020) · Magnetic Resonance in Medicine · doi:10.1002/mrm.28141 · Cited by 7
An enhanced multi-fiber reconstruction technique using adaptive gradient directions coupled with MoNCW model in diffusion MRI
Puri, A., Shakya, S., & Kumar, S. (2021) · Journal of Magnetic Resonance · doi:10.1016/j.jmr.2021.106931 · Cited by 7
Quantitative MR Markers in Non-Myelopathic Spinal Cord Compression: A Narrative Review
Valošek, J., Bednařík, P., Keřkovský, M., Hluštı́k, P., Bednařík, J., & Svátková, A. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11092301 · Cited by 6
“Usually, high angular resolution diffusion imaging [113] sequences are employed, utilizing diffusion gradient sampling on several whole q-space spheres (i.”
Background
Bridging the gap between constrained spherical deconvolution and diffusional variance decomposition via tensor‐valued diffusion MRI
Karan, P., Reymbaut, A., Gilbert, G., & Descoteaux, M. (2021) · Medical Image Analysis · doi:10.1016/j.media.2022.102476 · Cited by 7
A diffusion MRI study of brain white matter microstructure in adolescents and adults with a Fontan circulation: Investigating associations with resting and peak exercise oxygen saturations and cognition
Verrall, C., Chen, J., Yeh, C.-H., Mackay, M., d'Udekem, Y., Winlaw, D., Iyengar, A., Ayer, J., Gentles, T., Cordina, R., et al. (2022) · NeuroImage: Clinical · doi:10.1016/j.nicl.2022.103151 · Cited by 5
Analysis of Tongue Muscle Strain During Speech From Multimodal Magnetic Resonance Imaging
Shao, M., Xing, F., Carass, A., Liang, X., Zhuo, J., Stone, M. L., Woo, J., & Prince, J. L. (2023) · Journal of Speech Language and Hearing Research · doi:10.1044/2022_jslhr-22-00329 · Cited by 7
An Information Theoretic Approach Characterizing Diffusion Anisotropy in Diffusion-weighted Magnetic Resonance Images
Metwalli, N. S., LaConte, S. M., & Hu, X. P. (2006) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2006.259870 · Cited by 7
“This assumption of a Gaussian diffusion profile is not always met, especially in cases of voxels having multiple fiber orientations [3].”
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Diffusion tensor imaging in studying white matter complexity: A gap junction hypothesis
Abdallah, C. G., Tang, C. Y., Mathew, S. J., Martínez, J. A. B., Hof, P. R., Perera, T. D., Shungu, D. C., Gorman, J. M., & Coplan, J. D. (2010) · Neuroscience Letters · doi:10.1016/j.neulet.2010.03.070 · Cited by 7
“At present, conventional DTI is incapable of resolving multiple fiber orientations within an individual voxel [25], therefore, we surmise that a higher level of intersections of fiber tracts in the anterior regions of the brain likely accounts for the decrease in the level of anisotropy in these regions.”
Background
Two-tensor model-based bootstrapping on classified tensor morphologies: estimation of uncertainty in fiber orientation and probabilistic tractography
Ratnarajah, N., Simmons, A., Bertoni, M., & Hojjatoleslami, A. (2012) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2012.07.004 · Cited by 7
“HARDI-based methods, including multitensor models [3], spherical deconvolution [4] and Q-ball imaging (QBI) [5], require longer acquisition times than conventional DTI and are generally not suitable for clinical applications.”
BackgroundMethod
Contrast-to-noise ratios for indices of anisotropy obtained from diffusion MRI: A study with standard clinical b-values at 3T
Correia, M., Newcombe, V., & Williams, G. B. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.03.004 · Cited by 7
“In addition, it has been previously shown that IVOH can be detected already at b-values as low as 1000 s/mm2 (Tuch et al., 2002).”
Background
Fiber Visualization with LIC Maps Using Multidirectional Anisotropic Glyph Samples
Höller, M., Otto, K.-M., Klose, U., Groeschel, S., & Ehricke, H.-H. (2014) · International Journal of Biomedical Imaging · doi:10.1155/2014/401819 · Cited by 7
“Directional color-coding of ODF glyphs helps to reveal local anisotropy directions [15, 16].”
Background
Symmetrical Location Characteristics of Corticospinal Tract Associated With Hand Movement in the Human Brain
Lee, D., Lee, D., & Han, B. (2016) · Medicine · doi:10.1097/md.0000000000003317 · Cited by 7

Authors: Tuch, D. S., Reese, T. G., Wiegell, M. R., Makris, N., Belliveau, J. W., & Wedeen, V. J.
Affiliations: Massachusetts General Hospital (US)
Corresponding author: Wedeen, Van J.
ORCID: Reese, Timothy G.
Makris, Nikos
Venue: Magnetic Resonance in Medicine
Publisher: Wiley
Published: 2002-09-26
Volume: 48
Issue: 4
Pages: 577-582
ISSN: 0740-3194 (ISSN-L)
1522-2594
DOI: 10.1002/mrm.10268
OpenAlex: W2080198834
Cited by: 1,548
References: 27
Citations by year: 2026: 20 · 2025: 43 · 2024: 39 · 2023: 52 · 2022: 59 · 2021: 65 · 2020: 65 · 2019: 82 · 2018: 76 · 2017: 84 · 2016: 84 · 2015: 115 · 2014: 93 · 2013: 95 · 2012: 79
FWCI: 23.23
Type: journal article
Language: en
Open access: closed
Licence: onlinelibrary.wiley.com/termsAndConditions#vor (vor)
Locations: Magnetic Resonance in Medicine (publishedVersion)
PubMed (publishedVersion)
Funders: Sol Goldman Charitable Trust
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
Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Keywords: high angular resolution diffusion imaging
MeSH terms: Brain, Computer Simulation, Humans, Image Processing, Computer-Assisted, Male, Nerve Fibers, Anisotropy, Diffusion Magnetic Resonance Imaging

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High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity

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