Determining mean fractional anisotropy using DDCOSY: preliminary results in biological tissues

Magn Reson Chem. 2017 May;55(5):498-507. doi: 10.1002/mrc.4492. Epub 2016 Aug 21.

Abstract

Complex materials are ubiquitous in science, engineering and nature. One important parameter for characterising their morphology is the degree of anisotropy. Magnetic resonance imaging offers non-invasive methods for quantitative measurements of the materials anisotropy, most commonly via diffusion tensor imaging and the subsequent extraction of the spatially resolved fractional anisotropy (FA) value. Here, we propose an alternative way of determining the FA as a sample average for cases where spatially resolved methods are not needed or not applicable. It is based on a particular diffusion-diffusion correlation spectroscopy protocol, allowing for the extraction of the mean (i.e. sample averaged) FA value. We demonstrate that mean FA values obtained from three anisotropic biological tissues are consistent with those extracted using diffusion tensor imaging. Moreover, we show that differences of mean FA values in healthy and tumour-bearing mouse brains allow to distinguish these tissue types. We anticipate that the proposed method will be beneficial in the wider context of medical and material science. Copyright © 2016 John Wiley & Sons, Ltd.

Keywords: 1H NMR; diffusion tensor imaging; diffusion-diffusion correlation spectroscopy; fractional anisotropy.

MeSH terms

  • Animals
  • Anisotropy
  • Brain / diagnostic imaging
  • Brain Neoplasms / diagnostic imaging
  • Cell Line, Tumor
  • Computer Simulation
  • Daucus carota
  • Diffusion
  • Diffusion Tensor Imaging
  • Humans
  • Magnetic Resonance Spectroscopy / methods*
  • Mice