531-01-010 / 531-01-010 ISMRM Abstract

Abdominal Fat Fraction Atlases for Longitudinal Mapping of Liver Fat During Weight Loss: Results from the LION Study

Primary: Body - Liver

Secondary: Analysis Methods - Data Processing

531-01-010 · Quantitative Imaging: Applications · Wednesday, 13 May, 8:20 AM–9:56 AM · Roof Terrace

Keywords: Liver Atlas Weight-loss Abdominal MRI Fat fraction (FF)

Accepted

Sophie Starck ¹, Vasiliki Sideri-Lampretsa¹, Daniela Junker², Mingming Wu^2,3, Johannes Raspe⁴, Carmen Blanken⁵, Anna Reik⁵, Hans Hauner^5,6, Christina Holzapfel^5,7, Dimitrios Karampinos^2,8, Daniel Rueckert^1,9, Sevgi Gokce Kafali¹

¹Chair for AI in Healthcare and Medicine, Technical University of Munich and TUM University Hospital, Munich, Germany

²Department for Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine and Health, Munich, Germany

³Department of Radiology, LMU University Hospital, LMU Munich, Munich, Germany

⁴Institute for Diagnostic and Interventional Radiology, School of Medicine and Health, TUM University Hospital, Technical University of Munich (TUM), Munich, Germany

⁵Institute for Clinical Nutritional Medicine, Technical University of Munich, School of Medicine and Health, Munich, Germany

⁶Else Kröner-Fresenius Center for Nutritional Medicine, Technical University of Munich, School of Medicine and Health, Munich, Germany

⁷Department of Nutritional, Food and Consumer Sciences, Fulda University of Applied Sciences, Fulda, Germany

⁸Laboratory of Magnetic Resonance Imaging Systems and Methods, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

⁹Department of Computing, Imperial College London, London, United Kingdom

Presenting Author: Sophie Starck

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References

1. Yang M, Liu S, Zhang C. The related metabolic diseases and treatments of obesity. Healthcare. MDPI; 2022. p. 1616.

2. Gu J, Liu S, Du S, Zhang Q, Xiao J, Dong Q, et al. Diagnostic value of MRI-PDFF for hepatic steatosis in patients with non-alcoholic fatty liver disease: a meta-analysis. Eur Radiol. 2019;29: 3564–3573.

3. Daniela Junker, Selina Rupp, Jessie Han, Mingming Wu, Anna Reik, Meike Wiechert, Hans Hauner2, Marcus M. Makowski, Christina Holzapfel, and Dimitrios C. Karampinos. Pancreatic PDFF in persons with obesity: change during weight loss and correlations with adipose tissue PDFF. [cited 28 Oct 2025]. Available: https://archive.ismrm.org/2022/4028.html

4. Han J, Wu M, Reik A, Ruschke S, Rupp S, Näbauer SM, et al. MR-based fat fraction changes in subcutaneous adipose tissue in people with obesity undergoing a weight loss intervention: results from the LION study. Quant Imaging Med Surg. 2025;15: 9895–9909.

5. Starekova J, Hernando D, Pickhardt PJ, Reeder SB. Quantification of liver fat content with CT and MRI: State of the art. Radiology. 2021;301: 250–262.

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7. Shen J, Baum T, Cordes C, Ott B, Skurk T, Kooijman H, et al. Automatic segmentation of abdominal organs and adipose tissue compartments in water-fat MRI: Application to weight-loss in obesity. Eur J Radiol. 2016;85: 1613–1621.

8. Somasundaram A, Wu M, Reik A, Rupp S, Han J, Naebauer S, et al. Evaluating sex-specific differences in Abdominal Fat Volume and Proton Density Fat Fraction at MRI using automated nnU-Net-based segmentation. Radiol Artif Intell. 2024;6: e230471.

9. Reik A, Holzapfel C. Randomized controlled lifestyle intervention (LION) study for weight loss and maintenance in adults with obesity—design and methods. Frontiers in Nutrition. 2020;7: 586985.

10. Starck S, Sideri-Lampretsa V, Ritter JJM, Zimmer VA, Braren R, Mueller TT, et al. Using uk biobank data to establish population-specific atlases from whole body mri. Communications Medicine. 2024;4: 237.

11. Graf R, Platzek P, Riedel EO, Ramschütz C, Starck S, Möller HK, et al. VIBESegmentator: full body MRI segmentation for the NAKO and UK Biobank. European Radiology. 2025; 1–15.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/531-01-010