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Overview of quantitative susceptibility mapping.

Andreas Deistung1, Ferdinand Schweser2,3, Jürgen R Reichenbach1,4

  • 1Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany.

NMR in Biomedicine
|July 20, 2016
PubMed
Summary
This summary is machine-generated.

Quantitative susceptibility mapping (QSM) and susceptibility tensor imaging (STI) use MRI to measure magnetic susceptibility, a key MRI parameter. These methods enable non-invasive assessment of magnetic properties, particularly in brain imaging.

Keywords:
functional MRImagnetic susceptibilitymultiple sclerosisquantitative susceptibility mappingsusceptibility tensor imaging

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Area of Science:

  • Medical Imaging
  • Biophysics
  • Magnetic Resonance Imaging

Background:

  • Magnetic susceptibility quantifies material magnetizability in applied magnetic fields.
  • It is a crucial parameter in Magnetic Resonance Imaging (MRI).
  • Quantitative susceptibility mapping (QSM) and susceptibility tensor imaging (STI) are advanced MRI techniques.

Purpose of the Study:

  • To review the theoretical foundations of QSM and STI.
  • To discuss computational strategies for magnetic susceptibility characterization using MRI phase data.
  • To provide an overview of QSM applications, focusing on brain imaging.

Main Methods:

  • QSM extracts bulk magnetic susceptibility from a single MRI measurement.
  • STI quantifies magnetic susceptibility anisotropy using multiple MRI measurements with varying object orientations.
  • Both methods address the ill-posed inverse problem of determining magnetic susceptibility from local magnetic fields.

Main Results:

  • QSM provides spatial distribution of bulk magnetic susceptibility.
  • STI quantifies magnetic susceptibility anisotropy.
  • These techniques allow non-invasive assessment of magnetic susceptibility.

Conclusions:

  • QSM and STI are powerful MRI-based methods for assessing magnetic susceptibility.
  • These techniques have significant potential in clinical applications, especially in neuroimaging.
  • Further development and application of QSM and STI are expected to advance MRI capabilities.