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Diffusion Imaging in the Rat Cervical Spinal Cord
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Brain tissue compartment density estimated using diffusion-weighted MRI yields tissue parameters consistent with

Farshid Sepehrband1,2, Kristi A Clark3, Jeremy F P Ullmann1

  • 1Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia.

Human Brain Mapping
|June 23, 2015
PubMed
Summary

Quantitative diffusion MRI can accurately measure brain tissue density, matching histological data. This technique provides reliable myelin and fiber density estimates in both mouse and human brains.

Keywords:
DTINODDIdiffusion-weighted MRIelectron microscopytissue compartment densityvalidation

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Area of Science:

  • Neuroimaging
  • Biophysics
  • Histology

Background:

  • Diffusion MRI offers insights into brain microstructure.
  • Quantitative histological data is crucial for validating neuroimaging techniques.
  • Previous methods lacked precise quantitative density measurements.

Purpose of the Study:

  • To determine if diffusion MRI can yield quantitative cerebral tissue density measures comparable to histology.
  • To estimate absolute tissue density using the Neurite Orientation Distribution and Density Imaging (NODDI) technique.
  • To validate these estimates against established microscopy methods.

Main Methods:

  • Utilized the NODDI technique on diffusion MRI data.
  • Incorporated prior knowledge of myelin and cell membrane densities.
  • Compared diffusion MRI-derived myelin density with electron and light microscopy in mouse brains.
  • Validated fiber density estimates in human brains against published data.

Main Results:

  • Diffusion MRI-derived myelin density estimates closely matched electron microscopy results in mouse corpus callosum subregions.
  • Estimated myelin densities in mouse brain: genu (42±6%), body (36±4%), splenium (43±5%).
  • Electron microscopy myelin densities in mouse brain: genu (41±10%), body (36±8%), splenium (44±12%).
  • Strong agreement was found between diffusion MRI fiber density estimates and published human brain data.
  • Estimated density values remained robust even in the presence of crossing fibers.

Conclusions:

  • Diffusion MRI, specifically using NODDI, can provide quantitative cerebral tissue density measures.
  • The technique accurately estimates myelin and fiber densities, validated by histological data.
  • This non-invasive method holds promise for clinical applications in neuroscience research.