Skip to content

Latest commit

 

History

20 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Tutorial for simulating, visualising, and fitting N-periodic SSFP signals

This is a tutorial to accompany the paper 'Steady-state free precession for T2* relaxometry: All echoes in every readout with k-space aliasing' (2025) Magn. Reson. Med. authored by Lally PJ, Jin Y, Huo Z, Beitone C, Chiew M, Matthews PM, Miller KL and Bangerter NK. (https://doi.org/10.1002/mrm.30590)

This demo was built using:

Python v3.8.18

IPython v8.12.2

numpy v1.24.3

matplotlib v3.7.2

scipy v1.10.1

To run the demo in your browser, please click the Binder link below:

Binder

To view the expected outputs (all figures and animations) without running the notebook itself, please follow the nbviewer link below: https://nbviewer.org/github/petelally/nperiodic_tutorial/blob/main/nperiodic_tutorial.ipynb

DOI

About

Tutorial showing how to simulate and fit N-periodic SSFP data

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages