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Getting started

  • Download
  • 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
  • SWI/SMWI Algorithms
  • R2* Algorithms
    • Closed-form solutino using trapezoidal approximation
    • Algorithm for fast monoexponential fitting based on Auto-Regression on Linear Operations (ARLO) of data
    • Closed-form solution using Geometric Sum
    • Closed-form solution using Sequence of Product
    • Linear regression
    • Non-linear least square
  • 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
  • (f)MRI Toolkit 2025

Acknowledgements and References

  • Acknowledgments
  • References
SEPIA
  • R2* Algorithms
  • Algorithm for fast monoexponential fitting based on Auto-Regression on Linear Operations (ARLO) of data
  • View page source

Algorithm for fast monoexponential fitting based on Auto-Regression on Linear Operations (ARLO) of data

Pei, M., Nguyen, T.D., Thimmappa, N.D., Salustri, C., Dong, F., Cooper, M.A., Li, J., Prince, M.R., Wang, Y., 2014. Algorithm for fast monoexponential fitting based on Auto-Regression on Linear Operations (ARLO) of data. Magnetic resonance in medicine 73, 843–850.

../../_images/arlo.png
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© Copyright 2019, Kwok-Shing Chan.

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