MPM_QSM

QSM pipeline for Multi Parametric Mapping acquisitions

Main computational steps:

1. phase unwrapping and B0 map calculation using ROMEO
2. masking based on ROMEO quality map
3. rotation to scanner space for oblique acquisitions using SPM
4. PDF background field removal within SEPIA toolbox
5. star QSM for dipole inversion as default (optional: non-linear dipole inversion) within SEPIA toolbox
6. rotation back of QSM results to image space (for comparisons with PD, R2*, R1 and MT maps) using SPM

Installation steps:

1. Download Zip with all the files from:

   https://github.com/fil-physics/MPM_QSM or clone it to your GitHub repository

2. Download compiled version of ROMEO within MRItools either for windows or linux and unzip it in chosen destination

3. Download sepia toolbox:

   https://github.com/kschan0214/sepia.git and unzip it in chosen destination

4. Download SPM12: https://www.fil.ion.ucl.ac.uk/spm/software/download/

5. Set you local paths to MEDI and STI toolboxes downloaded in step 1 in file: /your_path/sepia-master/SpecifyToolboxesDirectory.m

   as following: MEDI_dir = '/your/MEDI/path/'; STISuite_dir = '/your/STI/path/'; FANSI_dir = []; SEGUE_dir = [];

6. Add to your matlab path: SEPIA toolbox, MPM_QSM folder and SPM12

7. Edit MPM_QSM_caller.m user parameters, where you specify folders to you nifti files

Publications:

Please remember to give credit to the authors of the methods used:

1. SEPIA toolbox: Chan KS, Marques JP. "SEPIA—Susceptibility mapping pipeline tool for phase images." Neuroimage 227 (2021), 117611.

2. SPM12 - rigid body registration: Friston KJ, et al. "Movement-related effect in fMRI time-series." Magnetic Resonance in Medicine 35 (1995):346-355

3. complex fit of the phase: Liu T, et al. "Nonlinear formulation of the magnetic field to source relationship for robust quantitative susceptibility mapping." Magnetic resonance in medicine 69.2 (2013): 467-476.

4. ROMEO phase uwnrapping: Dymerska B, and Eckstein K et al. "Phase unwrapping with a rapid opensource minimum spanning tree algorithm (ROMEO)." Magnetic Resonance in Medicine (2020).

5. PDF background field removal: Liu T, et al. "A novel background field removal method for MRI using projection onto dipole fields." NMR in Biomedicine 24.9 (2011): 1129-1136.

6. starQSM: Wei H, et al. "Streaking artifact reduction for quantitative susceptibility mapping of sources with large dynamic range." NMR in Biomedicine 28.10 (2015): 1294-1303.