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stable

Getting started

  • Installation/Setp up
  • Data Preparation
  • SEPIA header
  • SEPIA Output Files
  • Release note

Graphical User Interface (GUI)

  • SEPIA (One-stop QSM processing)
  • Phase Unwarpping Standalone
  • Background Magnetic Field Removal Standalone
  • QSM Standalone

Supported algorithms in SEPIA

  • Phase Unwarpping Algorithms
  • Background Magnetic Field Removal Algorithms
  • QSM Algorithms
    • How can we map the magnetic susceptibility sources from local field map?
      • Thresholded k-space Division (TKD)
      • Closed-form solution with L2-norm regularisation
      • Nonlinear Dipole Inversion (NDI)
      • Iterative LSQR (iLSQR STI Suite)
      • Iterative LSQR (iLSQR)
      • FAst Nonlinear Susceptibility Inversion (FANSI)
      • STreaking Artifact Reduction for QSM (Star-QSM)
      • Morphology enabled dipole inversion (MEDI)
      • MRI Susceptibility Calculation Methods
      • QSMnet+
      • LP-CNN
      • xQSM
  • SWI/SMWI Algorithms
  • R2* Algorithms
  • Subcortical structure segmentation in SEPIA
  • Weightings in SEPIA
  • Lookup table of algorithm parameters

Demonstration

  • Choosing a right phase unwrapping method for your data

Tutorial

  • SEPIA 101 - First QSM with SEPIA
  • Integration of New Phase unwrapping/BFR/QSM Method in SEPIA: Part 1
  • Integration of New Phase unwrapping/BFR/QSM Method in SEPIA: Part 2
  • (f)MRI Toolkit 2019

Acknowledgements and References

  • Acknowledgments
  • References
SEPIA
  • Docs »
  • QSM Algorithms »
  • FAst Nonlinear Susceptibility Inversion (FANSI)
  • Edit on GitHub

FAst Nonlinear Susceptibility Inversion (FANSI)¶

References: Milovic, C., Bilgic, B., Zhao, B., Acosta-Cabronero, J., Tejos, C., 2018. Fast nonlinear susceptibility inversion with variational regularization. Magnetic resonance in medicine 80, 814–821.

Milovic, C., Bilgic, B., Zhao, B., Langkammer, C., Tejos, C., Cabronero, J.A., 2019. Weak-harmonic regularization for quantitative susceptibility mapping. Magnetic resonance in medicine 81, 1399–1411.

../../_images/FANSI.png

Note

Current algorithm parameters are adapted for FANSI v3. Please refer to FANSI v1 for recommended parameter values if you used FANSI v1.

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© Copyright 2019, Kwok-Shing Chan Revision c303530b.

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