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Toward faster inference of micron-scale axon diameters using Monte Carlo simulations

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Abstract

Object

Recent advances have allowed oscillating gradient (OG) diffusion MRI to infer the sizes of micron-scale axon diameters. Here the effects on the precision of the inferred diameters are studied when reducing the number of images collected to reduce imaging time for clinical feasibility.

Materials and methods

Monte Carlo simulations of cosine OG sequences (50–1000 Hz) using a two-compartment model on a parallel cylinder (diameters 1–5 μm) geometry were conducted. Temporal diffusion spectroscopy was used to infer axon diameters. Three different gradient sets were simulated with different combinations of gradient strengths.

Results

Five frequencies were adequate for d = 3–5 μm with single-sized cylinders and for effective mean axon diameters greater than 2 μm for cylinders with a distributions of diameters. There was some improvement in precision for d = 1–2 μm with 10 frequencies. It is better to repeat measurements at higher gradient strengths than to use a range of gradient strengths. The improvement tended to be greatest when using fewer frequencies and was especially noticeable at very high gradient strengths.

Conclusion

Images can be collected with fewer gradient strengths and frequencies without sacrificing the precision of the measurements. This could be useful in reducing imaging time so that OG techniques can be used in clinical settings.

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Acknowledgements

Funding provided by the Natural Sciences and Engineering Council of Canada.

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Authors and Affiliations

  1. Physics and Astronomy, University of Manitoba, Allen Building, Winnipeg, MB, R3T 2N2, Canada

    Morgan Mercredi & Melanie Martin

  2. Physics, University of Winnipeg, Winnipeg, MB, Canada

    Melanie Martin

Authors
  1. Morgan Mercredi
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  2. Melanie Martin
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MM Data collection or management, data analysis. MM Protocol/project development.

Corresponding author

Correspondence to Morgan Mercredi.

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The authors declare that they have no conflict of interest.

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This article does not contain any studies with human participants or animals performed by any of the authors.

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Mercredi, M., Martin, M. Toward faster inference of micron-scale axon diameters using Monte Carlo simulations. Magn Reson Mater Phy 31, 511–530 (2018). https://doi.org/10.1007/s10334-018-0680-1

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  • DOI: https://doi.org/10.1007/s10334-018-0680-1

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