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Configuration space representation of MRI sequences.

Carl Ganter1

  • 1School of Medicine, Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar der TUM, Technical University of Munich, Munich, Germany.

Magnetic Resonance in Medicine
|November 26, 2021
PubMed
Summary

The continuous configuration model (CCM) offers a new way to understand MRI signal contrast, especially with unbalanced gradients. This method simplifies complex MRI sequences by treating them as a signal processing problem.

Keywords:
EPGSWIFTconfigurationextended phase graphssignal processingsimulation

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Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Spin Physics
  • Signal Processing

Background:

  • Local solutions in MRI offer limited insight into contrast generated by unbalanced gradients.
  • A new approach is needed to formalize signal localization and address these limitations.

Purpose of the Study:

  • To introduce the continuous configuration model (CCM) for a comprehensive understanding of MRI signal contrast.
  • To overcome limitations of local solutions in MRI sequences with unbalanced gradients.

Main Methods:

  • The CCM decomposes spin density using Fourier integrals, separating intrinsic tissue properties from gradient and off-resonance effects.
  • Local dynamic equations are transformed into differential equations between configurations within the CCM framework.

Main Results:

  • The CCM extends the EPG formalism to arbitrary MRI sequences, enabling rigorous treatment of signal localization, inhomogeneous broadening, and motion.
  • A link between SWIFT and SSFP sequences was identified when applying CCM to frequency-swept NMR.

Conclusions:

  • The CCM provides a signal processing viewpoint for analyzing MRI sequences.
  • This approach may streamline the development and optimization of novel MRI imaging strategies.