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Comparative REview of Algorithm and Method for proton-density fat fraction (PDFF) quantification (CREAM_PDFF)

The CREAM_PDFF is a multi-language toolbox developed to evaluate state-of-the art open source algorithms for fat-water separation.

Reference Referred as Method Code 2D/3D Spectrum choice Echo spacing Code acceleration Year Code repository (If not specified, it is on github.com)
Boehm et al. 8 VLGCA Graph-cut Matlab 2D Free Uniform Parallel computing 2021 gitlab.com/christofboehm/fieldmap-graph-cut
Bydder et al. 7 IDEAL-CE IDEAL Matlab 3D Model Constrained Free GPU computing 2020 marcsous/pdff
Andersson et al. 6 MSGCA-A Graph-cut Matlab 3D Free Uniform No 2018 Snubben-B/FW-Recon-Spatial-Smoothing
Cui et al.5 GOOSE Graph-cut Matlab 2D Fixed1 Uniform / Free No 2015 GOOSE code repository
Berglund et al.4 MSGCA-B Graph-cut Python 3D Free Uniform No 2017 bretglun/fwqpbo
Liu˙ et al. 3 B0-NICE Region-based Matlab 3D Fixed2 Uniform No 2015 B0-NICE code repository
Berglund et al.2 Fatty-Riot-GC Graph-cut Matlab 3D Free Uniform No 2012 welcheb/fw_i3cm1i_3pluspoint_berglund_QPBO welcheb/FattyRiot
Hernando et al. 1 Hernando-GC Graph-cut Matlab 2D Free Uniform / Free No 2012 Hernando-GC code repository

1 ISMRM challenge spectrum

2 own spectrum

Publication

This open-source is described in the following article :

  • Pierre Daudé, Tangi Roussel, Thomas Troalen, Patrick Viout, Diego Hernando, Maxime Guye, Frank Kober, Sylviane Confort Gouny, Monique Bernard, Stanislas Rapacchi. Comparative Review of Algorithm and Method for proton-density fat fraction (PDFF) quantification. Magn. Res. Med. 2023. Available from: [https://onlinelibrary.wiley.com/doi/full/10.1002/mrm.29860]

Installation guidelines

Installation documentation

Documentation

Documentation

References

  1. Hernando D, Kellman P, Haldar JP, Liang Z-P. Robust water/fat separation in the presence of large field inhomogeneities using a graph cut algorithm. Magn Reson Med. 2009;NA-NA.

  2. Berglund J, Kullberg J. Three-dimensional water/fat separation and T 2* estimation based on whole-image optimization-Application in breathhold liver imaging at 1.5 T. Magn Reson Med. 2012;67:1684–93.

  3. Liu J, Drangova M. Method for B0 off-resonance mapping by non-iterative correction of phase-errors (B0-NICE): B0 Mapping with Multiecho Data. Magn Reson Med. 2015;74:1177–88.

  4. Berglund J, Skorpil M. Multi-scale graph-cut algorithm for efficient water-fat separation: Multi-Scale Graph-Cut Water/Fat Separation. Magn Reson Med. 2017;78:941–9.

  5. Cui C, Wu X, Newell JD, Jacob M. Fat water decomposition using globally optimal surface estimation (GOOSE) algorithm. Magn Reson Med. 2015;73:1289–99.

  6. Andersson J, Ahlström H, Kullberg J. Water-fat separation incorporating spatial smoothing is robust to noise. Magn Reson Imaging. 2018;50:78–83.

  7. Bydder M, Ghodrati V, Gao Y, Robson MD, Yang Y, Hu P. Constraints in estimating the proton density fat fraction. Magn Reson Imaging. 2020;66:1–8.

  8. Boehm C, Diefenbach MN, Makowski MR, Karampinos DC. Improved body quantitative susceptibility mapping by using a variable‐layer single‐min‐cut graph‐cut for field‐mapping. Magn Reson Med. 2021;85:1697–712.

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