MAGORINO: Magnitude-only fat fraction and R2* estimation with Rician noise modelling.

The code in this repository enables implementation of the method and experiments described in: Bray TJP, Bainbridge A, Lim EA, Hall-Craggs MA, Zhang H. MAGORINO: Magnitude-only fat fraction and R2* estimation with Rician noise modelling. Magn Reson Med 2022. doi: 10.1002/mrm.29493

Briefly, MAGORINO is a method for proton density fat fraction (PDFF) and R2* estimation, which incorporates (i) Rician noise–based likelihood optimization based on the signal magnitude and (ii) two-point search of the likelihood function to ensure that both global and local optima are explored.

To use the method ot try any of the experiments in the paper, start by taking a look at the master script master.m in the 'Experiments' folder.

For more information, feel free to contact me at t.bray@ucl.ac.uk