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Inferring brain tissue composition and microstructure via MR relaxometry.

Mark D Does1

  • 1Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA; Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Electrical Engineering, Vanderbilt University, Nashville, TN, USA.

Neuroimage
|January 7, 2018
PubMed
Summary
This summary is machine-generated.

Magnetic Resonance Imaging (MRI) relaxometry, including T1, T2, and T2* measures, offers insights into brain tissue composition and microstructure. Further development is needed for accurate tissue modeling and robust analysis methods.

Keywords:
MRIMicrostructureMyelinRelaxometry

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Area of Science:

  • Biomedical Imaging
  • Neuroscience
  • Medical Physics

Background:

  • MRI relaxometry quantifies water proton T1, T2, and T2* relaxation times.
  • These measures are sensitive to complex tissue characteristics, presenting both opportunities and challenges in tissue characterization.
  • Understanding these properties is crucial for non-invasive tissue analysis.

Purpose of the Study:

  • To review the development and current potential of common MRI relaxometry measures (T1, T2, T2*) for probing brain tissue.
  • To highlight the challenges and opportunities in applying these techniques to neuroscience research.
  • To assess the established role of MRI relaxometry in characterizing neural tissue, particularly myelination.

Main Methods:

  • Review of established MRI relaxometry techniques, focusing on T1, T2, and T2*.
  • Discussion of the requirements for accurate tissue models and robust acquisition/analysis methodologies.
  • Synthesis of current literature on the application of MRI relaxometry in brain tissue characterization.

Main Results:

  • MRI relaxometry, specifically T1, T2, and T2* measures, demonstrates potential for characterizing brain tissue composition and microstructure.
  • Established utility in assessing neural tissue, with a notable focus on myelination.
  • Challenges remain in developing accurate tissue models and robust analytical methods.

Conclusions:

  • MRI relaxometry is a valuable tool for understanding neural tissue, particularly myelination.
  • Further advancements in modeling and methodology are essential to fully exploit its potential.
  • Continued development promises enhanced characterization of brain tissue microstructure.