Published August 28, 2025 | Version v1
Software Open

Sequence files and linear mixed-effects models for "Highly Reproducible, Vendor-Agnostic, Motion-Insensitive Liver PDFF Mapping at 0.55T, 1.5T, and 3T"

Authors/Creators

  • 1. ROR icon University of Wisconsin–Madison
  • 2. ROR icon University of Michigan–Ann Arbor
  • 3. ROR icon Athinoula A. Martinos Center for Biomedical Imaging
  • 4. ROR icon Harvard Medical School
  • 5. ROR icon Zhejiang University
  • 6. ROR icon Brigham and Women's Hospital
  • 7. ROR icon GE Healthcare (United States)
  • 8. ROR icon Boston University School of Medicine
  • 9. Calimetrix, LLC
  • 10. ROR icon University of California, Los Angeles
  • 11. ROR icon Case Western Reserve University
  • 12. ROR icon University Medical Center Freiburg

Description

Supplemental materials for the paper "Highly Reproducible, Vendor-Agnostic, Motion-Insensitive Liver PDFF Mapping at 0.55T, 1.5T, and 3T".

Please note the included academic use license, which also includes copyright notices for third-party libraries used in this work.

Linear mixed-effects models, underlying data, and code for permutation testing for significance of differences in parameters between models are available here. 

Also included here are Matlab scripts for generating the Pulseq sequences used in the work, as well as pre-compiled sequences ready for execution on MR systems with a Pulseq interpreter.

Detailed description of included files:

Filename Description
WARF License - PulseqFAM.doc License file and third-party library copyright notices
lme_published.mlx Matlab notebook for fitting linear mixed-effects models, and performing permutation testing for significance of differences in parameters between models

pulseqFam_reps_published.csv

3dCse_reps_published.csv

 CSV files containing phantom data used in linear mixed-effects model fitting, for the Pulseq-FAM and 3D-encoded CSE-MRI methods
writeIDEAL2D_published.m Matlab script for generating Pulseq-FAM .seq files. Note the FIELD_STRENGTH variable can be changed to produce the sequences we used in our work at 0.55T, 1.5T, and 3T. Please see the git repos linked in the comments of this file for necessary libraries to run this script.

FAM_s2-8_237TE_158TR_0p55T_v14.seq

FAM_s2-8_167TE_126TR_1p5T_v14.seq

FAM_s2-8_121TE_93TR_3T_v14.seq

 Compiled Pulseq .seq files for Pulseq-FAM. Please note the field strength (0p55T = 0.55T, 1p5T = 1.5T, 3T) indicated in each filename. These files can also be generated by using the included writeIDEAL2D_published.m file.
convertToGE_published.m Matlab script for converting .seq files to TOPPE .tar files for execution on GE systems, using the TOPPE interpreter. Please see the git repo linked in comments in this file for download of the TOPPE interpreter. Please also note that the FIELD_STRENGTH variable can be set for 1.5T or 3T, but not 0.55T since at this time, GE does not manufacture a 0.55T system.

FAM_s2-8_167TE_126TR_1p5T_v14.tar

FAM_s2-8_121TE_93TR_3T_v14.tar

 Compiled .tar files for Pulseq-FAM for the TOPPE interpreter on GE systems. These files can also be generated by first running the included writeIDEAL2D_published.m file, then the convertToGE_published.m file.

 

 

 

Files

3dCse_reps_published.csv

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Additional details

Funding

National Institutes of Health
R44EB025729
National Institutes of Health
R01EB031886
National Institutes of Health
R01EB032378

Software

Programming language
MATLAB