Evidence map›Paper›PMID 28318071›Full record

ArticleNMR in biomedicine2017

Resolution limit of cylinder diameter estimation by diffusion MRI: The impact of gradient waveform and orientation dispersion.

Markus Nilsson, Samo Lasič, Ivana Drobnjak, Daniel Topgaard, Carl-Fredrik Westin

Abstract read
In one paragraph

Article in NMR in biomedicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

83 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Axon Diameter Mapping From Myelin Water Diffusion MRI.IEEE transactions on medical imaging · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Engineering clinical translation of OGSE diffusion MRI.Magnetic resonance in medicine · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

23 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Markus NilssonClinical Sciences Lund, Department of Radiology, Lund University, Lund, Sweden.ORCID http://orcid.org/0000-0002-3140-8223
Samo LasičCR Development AB, Lund, Sweden.
Ivana DrobnjakUniversity College London, London, UK.
Daniel TopgaardDivision of Physical Chemistry, Department of Chemistry, Lund University, Lund, Sweden.
Carl-Fredrik WestinDepartment of Biomedical Engineering, Linköping University, Linköping, Sweden.

Funding

WHITE MATTER ARCHITECTURE FROM DT-MRIP41RR013218 · NCRR · BRIGHAM AND WOMEN'S HOSPITAL · PI KIKINIS, RON · 1998 to 2011
$30.6M
Training and DisseminationP41EB015902 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI KIKINIS, RON, WESTIN, CARL-FREDRIK · 2012 to 2022
$20.9M
Novel DT-MRI Analyses of White Matter in SchizophreniaR01MH074794 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI WESTIN, CARL-FREDRIK · 2007 to 2021
$9.6M
Novel computational methods for higher order diffusion MRI in autismR01MH092862 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI VERMA, RAGINI, WESTIN, CARL-FREDRIK · 2010 to 2014
$3.3M
NCRR NIH HHS P41 RR013218NIBIB NIH HHS P41 EB015902NIMH NIH HHS R01 MH074794NIMH NIH HHS R01 MH092862
6 · The paper itself

Abstract

Diffusion MRI has been proposed as a non-invasive technique for axonal diameter mapping. However, accurate estimation of small diameters requires strong gradients, which is a challenge for the transition of the technique from preclinical to clinical MRI scanners, since these have weaker gradients. In this work, we develop a framework to estimate the lower bound for accurate diameter estimation, which we refer to as the resolution limit. We analyse only the contribution from the intra-axonal space and assume that axons can be represented by impermeable cylinders. To address the growing interest in using techniques for diffusion encoding that go beyond the conventional single diffusion encoding (SDE) sequence, we present a generalised analysis capable of predicting the resolution limit regardless of the gradient waveform. Using this framework, waveforms were optimised to minimise the resolution limit. The results show that, for parallel cylinders, the SDE experiment is optimal in terms of yielding the lowest possible resolution limit. In the presence of orientation dispersion, diffusion encoding sequences with square-wave oscillating gradients were optimal. The resolution limit for standard clinical MRI scanners (maximum gradient strength 60-80 mT/m) was found to be between 4 and 8 μm, depending on the noise levels and the level of orientation dispersion. For scanners with a maximum gradient strength of 300 mT/m, the limit was reduced to between 2 and 5 μm.

Indexed as

Models, NeurologicalAlgorithmsAnisotropyAxonsComputer SimulationDiffusion Tensor ImagingHumansImage EnhancementImage Interpretation, Computer-AssistedMagnetic FieldsModels, AnatomicRadiation DosageReproducibility of ResultsSensitivity and SpecificitySignal-To-Noise RatioWhite MatterAxon diameterdiffusion imagingdouble diffusion encodingmicrostructureoscillating diffusion encodingq-trajectory encodingresolution limitsingle diffusion encoding

Identifiers

PMID28318071
PMCPMC5485041

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.