This repository contains the code accompanying the publication:
"Robust fat fraction mapping in the presence of magnetic field inhomogeneities with phase-cycled bSSFP"
by Berk Can Acikgoz
This code provides implementations for fat fraction (FF) mapping using phase-cycled balanced steady-state free precession (bSSFP) while addressing magnetic field inhomogeneities. It includes functions for data processing, reconstruction, and analysis.
- If you use this code in your research, please cite our paper:
TO BE DETERMINED¨
- Also, please cite the water-fat seperation workshop:
Hu HH, Börnert P, Hernando D, Kellman P, Ma J, Reeder S, Sirlin C. ISMRM workshop on fat-water separation: insights, applications and progress in MRI. Magn Reson Med. 2012 Aug;68(2):378-88. doi: 10.1002/mrm.24369. Epub 2012 Jun 12. PMID: 22693111; PMCID: PMC3575097.
- The pioneer work (SPARCQ) on PDFF with phase-cycled bSSFP:
Rossi, G. M., Mackowiak, A. L., Açikgöz, B. C., Pierzchała, K., Kober, T., Hilbert, T., & Bastiaansen, J. A. (2023). SPARCQ: a new approach for fat fraction mapping using asymmetries in the phase‐cycled balanced SSFP signal profile. Magnetic resonance in medicine, 90(6), 2348-2361.
- The pioneer work on inhomogeneity field mapping with graph-cuts:
Hernando, D., Kellman, P., Haldar, J. P., & Liang, Z. P. (2010). Robust water/fat separation in the presence of large field inhomogeneities using a graph cut algorithm. Magnetic Resonance in Medicine: An Official Journal of the International Society for Magnetic Resonance in Medicine, 63(1), 79-90.
Graph-cuts implementation can be found in the toolbox from ISMRM workshop on fat-water separation:
https://www.ismrm.org/workshops/FatWater12/data.htm
Phase-cycled bSSFP PDFF also depends on the graph-cut implementation in the toolbox. Download the toolbox from the given link and add it to your path.
Load your 2D phase-cycled bSSFP profiles to the MATLAB workspace and run the main script
This project is released under the MIT License. See LICENSE for details.
This code is provided as is, without any warranty or guarantee of accuracy. It is intended for academic and research purposes only. The author and affiliated institutions assume no responsibility for any issues arising from its use.
For questions or issues, please open an issue on GitHub or contact Berk Can Acikgoz at [acikgozbc@gmail.com].