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Can increased spatial resolution solve the crossing fiber problem for diffusion MRI?
Open accessAbstract
It is now widely recognized that voxels with crossing fibers or complex geometrical configurations present a challenge for diffusion MRI (dMRI) reconstruction and fiber tracking, as well as microstructural modeling of brain tissues. This “crossing fiber” problem has been estimated to affect anywhere from 30% to as many as 90% of white matter voxels, and it is often assumed that increasing spatial resolution will decrease the prevalence of voxels containing multiple fiber populations. The aim of this study is to estimate the extent of the crossing fiber problem as we progressively increase the spatial resolution, with the goal of determining whether it is possible to mitigate this problem with higher resolution spatial sampling. This is accomplished using ex vivo MRI data of the macaque brain, followed by histological analysis of the same specimen to validate these measurements, as well as to extend this analysis to resolutions not yet achievable in practice with MRI. In both dMRI and histology, we find unexpected results: the prevalence of crossing fibers increases as we increase spatial resolution. The problem of crossing fibers appears to be a fundamental limitation of dMRI associated with the complexity of brain tissue, rather than a technical problem that can be overcome with advances such as higher fields and stronger gradients.
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“suggesting that this is a fundamental problem that cannot be overcome by scanning at higher resolution to reduce partial volume effects (Schilling et al., 2017).”
From Potential Pitfalls of Using Fractional Anisotropy, Axial Diffusivity, and Radial Diffusivity as Biomarkers of Cerebral White Matter Microstructure (2022) · cites this paper as Schilling et al., 2017
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“ex vivo MRI and histological studies of the macaque brain have revealed that white matter crossing fibers become even more apparent upon higher resolution and more detailed examination”
From Potential Pitfalls of Using Fractional Anisotropy, Axial Diffusivity, and Radial Diffusivity as Biomarkers of Cerebral White Matter Microstructure (2022) · cites this paper as Schilling et al., 2017
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Metadata
- Authors
- Schilling, K., Gao, Y., Janve, V., Stepniewska, I., Landman, B. A., & Anderson, A. W.
- Affiliations
- Vanderbilt University (US)
- Corresponding author
- Schilling, Kurt
- Venue
- NMR in Biomedicine
- Publisher
- Wiley
- Published
- 2017-09-15
- Volume
- 30
- Issue
- 12
- ISSN
- 0952-3480 (ISSN-L)
- 1099-1492
- PMC
- PMC5685916
- OpenAlex
- W2756010063
- Cited by
- 102
- References
- 50
- Citations by year
- 2026: 11 · 2025: 19 · 2024: 13 · 2023: 13 · 2022: 11 · 2021: 13 · 2020: 12 · 2019: 6 · 2018: 3 · 2017: 1
- FWCI
- 4.62
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- NMR in Biomedicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Neurological Disorders and Stroke (R01 NS058639, S10 RR17799)
- 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
- crossing fibers, diffusion MRI, spatial resolution, tractography, white matter microstructure, macaque brain, histopathological confirmation, diffusion MRI reconstruction
- MeSH terms
- Diffusion, Diffusion Magnetic Resonance Imaging, Signal-To-Noise Ratio
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