Cited by 695Advanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and ApplicationsNMR spectroscopy and applications

Analysis of partial volume effects in diffusion‐tensor MRI

Open access
Alexander, Andrew L., Hasan, Khader M., Lazar, Mariana, Tsuruda, Jay S., Parker, Dennis L.·2001·Magnetic Resonance in Medicine

Abstract

The diffusion tensor is currently the accepted model of diffusion in biological tissues. The measured diffusion behavior may be more complex when two or more distinct tissues with different diffusion tensors occupy the same voxel. In this study, a partial volume model of MRI signal behavior for two diffusion‐tensor compartments is presented. Simulations using this model demonstrate that the conventional single diffusion tensor model could lead to highly variable and inaccurate measurements of diffusion behavior. The differences between the single and two‐tensor models depend on the orientations, fractions, and exchange between the two diffusion tensor compartments, as well as the diffusion‐tensor encoding technique and diffusion‐weighting that is used in the measurements. The current single compartment model's inaccuracies could cause diffusion‐based characterization of cerebral ischemia and white matter connectivity to be incorrect. A diffusion‐tensor MRI imaging experiment on a normal human brain revealed significant partial volume effects between oblique white matter regions when using very large voxels and large diffusion‐weighting (b ∼ 2.69 × 10 3 sec/mm 2 ). However, the apparent partial volume effects in white matter decreased significantly when smaller voxel dimensions were used. For diffusion tensor studies obtained using typical diffusion‐weighting values (b ∼ 1 × 10 3 sec/mm 2 ) partial volume effects are much more difficult to detect and resolve. More accurate measurements of multiple diffusion compartments may lead to improved confidence in diffusion measurements for clinical applications. Magn Reson Med 45:770–780, 2001. © 2001 Wiley‐Liss, Inc.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/mrm.1105

Cites

34 of 34 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Differences in dMRI acquisition parameters, including vendor, voxel size, and angular resolution, are known to affect derived dMRI measures.

    “differences in dMRI acquisition parameters, including vendor, voxel size, and angular resolution, are known to affect derived dMRI measures (Alexander et al., 2001; Cercignani et al., 2003; Zhan et al., 2010; Zhu et al., 2011).”

    From Diffusion MRI Indices and Their Relation to Cognitive Impairment in Brain Aging: The Updated Multi-protocol Approach in ADNI3 (2019) · cites this paper as Alexander et al., 2001

    The Imaging Experiments and Discussion (page not provided) show that voxel size and the orientation of diffusion-encoding axes affect derived trace and fractional-anisotropy measurements, particularly where partial-volume effects are significant. The paper uses one scanner vendor and does not establish an effect of vendor differences or angular resolution; rotating a fixed set of directions is not a test of angular resolution. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • CSF-based partial volume effects are known to result in artificial FA reductions and MD increases.

    “As CSF based partial volume effects are known to result in artificial FA reductions and MD increases (Alexander et al., 2001; Vos et al., 2011; Metzler-Baddeley et al., 2012a), differences between patients and controls may be overestimated and could potentially reflect atrophy rather than intrinsic white matter microstructural changes.”

    From The cingulum bundle: Anatomy, function, and dysfunction (2018) · cites this paper as Alexander et al., 2001

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 2

  1. Alexander AL, Hasan K, Kindlmann G, Parker DL, Tsuruda JS. A geometric analysis of diffusion tensor measurements of the human brain. Magn Reson Med 2000;44:283-291.
  2. Jones DK, Horsfield MA, Simmons A. Optimal strategies for measuring diffusion in anisotropic systems by magnetic resonance imaging. Magn Reson Med 1999;42:515-525.

Cited by

Sorted by citations

Authors
Alexander, A. L., Hasan, K. M., Lazar, M., Tsuruda, J. S., & Parker, D. L.
Affiliations
  • University of Wisconsin–Madison (US)
  • University of Utah (US)
Corresponding author
Alexander, Andrew L.
Venue
Magnetic Resonance in Medicine
Publisher
Wiley
Published
2001-04-16
Volume
45
Issue
5
Pages
770-780
ISSN
  • 0740-3194 (ISSN-L)
  • 1522-2594
OpenAlex
W2069816444
Cited by
695
References
34
Citations by year
2026: 18 · 2025: 21 · 2024: 25 · 2023: 21 · 2022: 27 · 2021: 36 · 2020: 33 · 2019: 28 · 2018: 38 · 2017: 32 · 2016: 27 · 2015: 32 · 2014: 43 · 2013: 47 · 2012: 37
FWCI
10.88
Type
journal article
Language
en
Open access
Locations
  • Magnetic Resonance in Medicine (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institute of Mental Health (R01MH062015, MH 62015)
  • National Cancer Institute (P30CA042014)
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
partial volume effect, diffusion tensor imaging, diffusion tensor model, voxel size, white matter, cerebral ischemia, white matter connectivity, diffusion encoding
MeSH terms
Brain, Computer Simulation, Diffusion, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Anisotropy

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review