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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
  • 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

Acknowledgements and References

  • Acknowledgments
  • References
SEPIA
  • Docs »
  • R2* Algorithms »
  • Algorithm for fast monoexponential fitting based on Auto-Regression on Linear Operations (ARLO) of data
  • Edit on GitHub

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 Revision c303530b.

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