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| Item Type: | Conference or Workshop Item |
|---|---|
| Title: | MAGO-SP: detection and correction of water-fat swaps in magnitude-only VIBE MRI |
| Creators Name: | Graf, Robert, Möller, Hendrik, Starck, Sophie, Atad, Matan, Braun, Philipp, Stelter, Jonathan, Peters, Annette, Krist, Lilian, Willich, Stefan N., Völzke, Henry, Bülow, Robin, Pischon, Tobias, Niendorf, Thoralf, Paetzold, Johannes C., Karampinos, Dimitrios, Rueckert, Daniel and Kirschke, Jan |
| Abstract: | Volume Interpolated Breath-Hold Examination (VIBE) MRI generates images suitable for water and fat signal composition estimation. While the two-point VIBE provides rapid water-fat-separated images, the six-point VIBE allows estimation of the effective transversal relaxation rate R2* and the proton density fat fraction (PDFF), which are imaging markers for health and disease. Ambiguity during signal reconstruction can lead to water-fat swaps. This shortcoming challenges the application of VIBE-MRI for automated PDFF analyses of largescale clinical data and population studies. This study develops an automated pipeline to detect and correct water-fat swaps in non-contrastenhanced VIBE images. Our three-step pipeline begins with training a segmentation network to classify volumes as “fat-like” or “water-like”, using synthetic water-fat swaps generated by merging fat and water volumes with Perlin noise. Next, a denoising diffusion image-to-image network predicts water volumes as signal priors for correction. Finally, we integrate this prior into a physics-constrained model to recover accurate water and fat signals. Our approach achieves a <1% error rate in water-fat swap detection for a 6-point VIBE. Notably, swaps disproportionately affect individuals in the Underweight and Class 3 Obesity BMI categories. Our correction algorithm ensures accurate solution selection in chemical phase MRIs, enabling reliable PDFF estimation. This forms a solid technical foundation for automated large-scale population imaging analysis. |
| Keywords: | MRI, Water-Fat MRI, Water-Fat Swaps, Proton Density Fat Fraction |
| Source: | Lecture Notes in Computer Science |
| Series Name: | Lecture Notes in Computer Science |
| Title of Book: | Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 |
| ISSN: | 0302-9743 |
| ISBN: | 978-3-032-05168-4 |
| Publisher: | Springer |
| Volume: | 15972 |
| Page Range: | 328-338 |
| Number of Pages: | 11 |
| Date: | 20 September 2025 |
| Official Publication: | https://doi.org/10.1007/978-3-032-05169-1_32 |
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