660-02-003 ISMRM Abstract

Multi-resolution graph-cut for dual echo water-fat separation at low SNR regimes

Primary: Contrast Mechanisms - Fat & Fat/Water Separation

Secondary: Body - Body Composition

660-02-003 · Water-Fat MRI · Thursday, 14 May, 9:25 AM–10:20 AM · Digital Posters Row A

Keywords: Fat and Fat/Water Separation

Accepted

Louis Peyratoux ¹, Jonathan Stelter², Carl Ganter², Tom Hilbert^3,4,5, Dimitrios Karampinos^1,6

¹Laboratory of Magnetic Resonance Imaging Systems and Methods, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

²Institute for Diagnostic and Interventional Radiology, School of Medicine and Health, TUM University Hospital, Technical University of Munich, Munich, Germany

³Swiss Innovation Hub, Siemens Healthineers International AG, Lausanne, Switzerland

⁴LTS5, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

⁵Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland

⁶CIBM Center for Biomedical Imaging, Lausanne, Switzerland

Presenting Author: Louis Peyratoux

Synopsis

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References

1. Eggers, H., Brendel, B., Duijndam, A. and Herigault, G. (2011), Dual-echo Dixon imaging with flexible choice of echo times. Magn. Reson. Med., 65: 96-107. https://doi.org/10.1002/mrm.22578 [doi]

2. Berglund, J., Ahlström, H., Johansson, L. and Kullberg, J. (2011), Two-point dixon method with flexible echo times. Magn. Reson. Med., 65: 994-1004. https://doi.org/10.1002/mrm.22679 [doi]

3. Stinson, E.G., Trzasko, J.D., Fletcher, J.G. and Riederer, S.J. (2017), Dual echo Dixon imaging with a constrained phase signal model and graph cuts reconstruction. Magn. Reson. Med., 78: 2203-2215. https://doi.org/10.1002/mrm.26620 [doi]

4. Eggers, H., Brendel, B., Duijndam, A. and Herigault, G. (2011), Dual-echo Dixon imaging with flexible choice of echo times. Magn. Reson. Med., 65: 96-107. https://doi.org/10.1002/mrm.22578 [doi]

5. Hernando, D., Kellman, P., Haldar, J.P. and Liang, Z.-.-P. (2010), Robust water/fat separation in the presence of large field inhomogeneities using a graph cut algorithm. Magn. Reson. Med., 63: 79-90. https://doi.org/10.1002/mrm.22177 [doi]

6. 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. 2020; 85: 1697-1712. https://doi.org/10.1002/mrm.28515 [doi]

7. J. K. Stelter et al., "Hierarchical Multi-Resolution Graph-Cuts for Water-Fat-Silicone Separation in Breast MRI," in IEEE Transactions on Medical Imaging, vol. 41, no. 11, pp. 3253-3265, Nov. 2022, doi: 10.1109/TMI.2022.3180302. [doi]

8. Bydder, Mark et al. “Constraining the initial phase in water-fat separation.” Magnetic resonance imaging vol. 29,2 (2011): 216-21. doi:10.1016/j.mri.2010.08.011 [doi]

9. Ladicky, Lubor & Russell, Chris & Kohli, Pushmeet & Torr, Philip. (2010). Graph Cut Based Inference with Co-occurrence Statistics. 6315. 239-253. 10.1007/978-3-642-15555-0_18. [doi]

10. ISMRM Fat–Water Toolbox. Fat–Water Separation: Insights, Applications \& Progress in MRI Workshop Data. https://www.ismrm.org/workshops/FatWater12/data.htm, 2012. USC dataset, Long Beach, CA, ISMRM Workshop.

11. Book of Abstracts ESMRMB 2025 Online 41st Annual Scientific Meeting 8–11 October 2025. Magn Reson Mater Phy (2025). https://doi.org/10.1007/s10334-025-01278-8 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/660-02-003