Get access

Modeling of the diffusion MR signal in calibrated model systems and nerves

Authors

  • Darya Morozov,

    1. School of Chemistry, The Raymond and Beverly Sackler Faculty of Exact Science, Tel Aviv University, Tel Aviv, Israel
    Search for more papers by this author
  • Leah Bar,

    1. School of Mathematical Sciences, The Raymond and Beverly Sackler Faculty of Exact Science, Tel Aviv University, Tel Aviv, Israel
    Search for more papers by this author
  • Nir Sochen,

    1. School of Mathematical Sciences, The Raymond and Beverly Sackler Faculty of Exact Science, Tel Aviv University, Tel Aviv, Israel
    Search for more papers by this author
  • Yoram Cohen

    Corresponding author
    1. School of Chemistry, The Raymond and Beverly Sackler Faculty of Exact Science, Tel Aviv University, Tel Aviv, Israel
    2. The Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
    • Correspondence to: Y. Cohen, School of Chemistry, Sackler Faculty of Exact Sciences, Tel Aviv University, Ramat Aviv, Tel Aviv 69978, Israel. E-mail: ycohen@post.tau.ac.il

    Search for more papers by this author

Abstract

Diffusion NMR is a powerful tool for gleaning microstructural information on opaque systems. In this work, the signal decay in single-pulsed-field gradient diffusion NMR experiments performed on a series of phantoms of increasing complexity, where the ground truth is known a priori, was modeled and used to identify microstructural features of these complex phantoms. We were able to demonstrate that, without assuming the number of components or compartments, the modeling can identify the number of restricted components, detect their sizes with an accuracy of a fraction of a micrometer, determine their relative populations, and identify and characterize free diffusion when present in addition to the components exhibiting restricted diffusion. After the accuracy of the modeling had been demonstrated, this same approach was used to study fixed nerves under different experimental conditions. It seems that this approach is able to characterize both the averaged axon diameter and the relative population of the different diffusing components in the neuronal tissues examined. Copyright © 2013 John Wiley & Sons, Ltd.

Get access to the full text of this article

Ancillary