Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition

Water-Fat MRI

Digital Poster

Body

Thursday, 14 May 2026

Digital Posters Row A

09:25 - 10:20

Session Number: 660-02

No CME/CE Credit

Similar Sessions

Advancements, technical developments and clinical applications of fat-water separation techniques in body MRI.

		660-02-001. Characterizing the role of fat in body-QSM using SMURF water-fat separation Javier Silva, Michéle Steinrötter, Carlos Milovic, Beata Bachrata, Cristian Tejos, Simon Robinson Pontificia Universidad Católica de Chile, Santiago, Chile Impact: This study quantifies how type-1 and type-2 chemical shift artifacts bias body QSM, informing future protocol design and artifact mitigation strategies.
		660-02-002. Quantitative Susceptibility Mapping and Susceptibility-Weighted Imaging in the Breast using SMURF Fat-Water Imaging Michéle Steinrötter, Beata Bachrata, Javier Silva, Lena Nohava, Elmar Laistler, Simon Robinson Medical University of Vienna, Vienna, Austria Impact: Accurate fat-water separation using the SMURF approach and thin-slab QSM reconstruction enabled faster, artifact-free susceptibility imaging of the breast, providing sensitivity to small susceptibility variations such as calcifications and tissue changes which are relevant in imaging breast cancer.
		660-02-003. Multi-resolution graph-cut for dual echo water-fat separation at low SNR regimes Louis Peyratoux, Jonathan Stelter, Carl Ganter, Tom Hilbert, Dimitrios Karampinos Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland Impact: The proposed multi-resolution graph-cut algorithm enables more reliable water–fat separation, reducing swaps and improves the overall image quality of water- and fat-separated images under low SNR conditions.
		660-02-004. Dixon EPI blip rewound acquisition (DEBRA) for robust water/fat separation Xingwang Yong, Yuting Chen, Qiang Liu, Yohan Jun, Shohei Fujita, Unay Dorken Gallastegi, Eugene Milshteyn, Arnaud Guidon, Xinzeng Wang, Patricia Lan, Timothy Reese, Jon-Fredrik Nielsen, Yogesh Rathi, Berkin Bilgic Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, United States of America Impact: DEBRA enables robust diffusion imaging with simplified reconstruction models by minimizing fat displacement via acquisition design. Frequency-shifted fat suppression and joint low-rank reconstruction further improve model fidelity and SNR, facilitating accurate water-fat separation in challenging regions with strong B₀ inhomogeneity.
		660-02-005. Perirenal Fat Thickness on MRI as a Biomarker of MASH: Validation For Liver Biopsy HAIYU HUANG, Yujin Chu, Zhiwei Qin, HUAMEI YAN, Songhua Zhan, Wenli Tan, Jie Yuan Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China Impact: This study establishes perirenal fat thickness （PRFT） as an accessible MRI biomarker for MASH diagnosis. The findings enable clinicians to utilize routine T1-weighted imaging for non-invasive MASH risk stratification, opening avenues for investigating PRFT in longitudinal treatment monitoring.
		660-02-006. Free-Breathing Adipose Tissue Quantification using 2D-FAM Amirhossein Roshanshad, Gia-Khanh Timothy Nguyen, Jiayi Tang, Felix Schön, Julius Heidenreich, Aaron Carrel, Scott Reeder, Diego Hernando University of Wisconsin - Madison, Madison, United States of America Impact: Free-breathing 2D-FAM provides accurate, repeatable, and motion-robust quantification of visceral adipose tissue and subcutaneous adipose tissue in children without requiring breath-holding. This free-breathing approach enhances feasibility, patient comfort, and supports its use in pediatric metabolic and obesity research.
		660-02-007. Quantifying pancreatic fat using a free-breathing Stack-of-Stars sequence in adults undergoing diet-induced weight loss Philipp Braun, Christoph Zöllner, Mingming Wu, Selina Rupp, Jonathan Stelter, Anna Reik, Hans Hauner, Christina Holzapfel, Daniela Junker, Dimitrios Karampinos Technical University of Munich, Munich, Germany Impact: Prior studies have established the radial Stack-of-Stars trajectory as an effective method for measuring pancreatic fat in children. This study is the first to evaluate its performance on adults with obesity undergoing weight loss.
		660-02-008. Hepatic and Pancreatic Fat Gradients in Obesity: A Quantitative MRI Analysis of Risk for Prediabetes and Type 2 Diabetes. Rui Zhang, Yi Zhu The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China Impact: This study may help enable early detection of T2DM in obese individuals and benifit targeted therapeutic interventions.
		660-02-009. Sharing Quantitative abdominal MRI protocols with Mongolia Chris Bradley, Neil Guha, Batsugar Munkhbat, Eleanor Cox, Andreas Bungert, Naranjargal Dashdorj, Susan Francis University of Nottingham, Nottingham, United Kingdom Impact: The implementation of quantitative abdominal MRI for liver disease and liver cancer in Mongolia and improved the Mongolian standard of care non-contrast screening MRI protocol that has now been adopted and is in use at the Brilliant Hospital, Ulaanbaatar, Mongolia.
		660-02-010. Impact of Liver Fat Contents on Brain Structure and Cognitive Functions in Patients with MASLD Zhuoru Jiang, Bing Zhang, Jun Chen Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China Impact: This study links liver fat to smaller memory-related brain volumes and altered connectivity, offering new clues for liver-brain interactions. It identifies liver fat’s ties to reduced cognitive brain volumes and FC changes, advancing understanding of MASLD’s extrahepatic cerebral effects.
		660-02-011. Key Determinants for MFAD and Liver Fibrosis Progression by pMRI Francis Akinlotan, Zongxiang Gui, Xiu Chen, Jingjuan Qiao, Oluwabukola Bamishaye, Anita Dorabadizare, Yuguang Meng, Khan Hekmatyar, Jian-xiong Wang, Phillip Sun, Hang Shi, Bing Xue, Zhi-ren Liu, Jenny Yang Georgia State University, Atlanta, United States of America Impact: The novel contrast agent combined with innovative processing techniques made possible by this agent promise to markedly enhance the precision of MRI in diagnosing and monitoring progression and regression of liver fibrosis, filling a major medical gap.
		660-02-012. Noninvasive Measurement of Iron and Fat in Prostate Cancer for Pathologic Risk Stratification Ziwei Li, Yunshu Zhao, Guangzheng Li, Mengying Zhu, Shuting Han, Yonggang Li The First Affiliated Hospital of Soochow University, Suzhou, China Impact: This study developed a novel, non-invasive method that quantifies both iron and fat content in prostate cancer to preoperatively predict pathological risk. This tool aids clinical decision-making and reduces the need for unnecessary biopsies, significantly improving the patient care pathway.
		660-02-013. mDIXON-Quant Reveals Severe Intramyocardial Fat in Arrhythmogenic Right Ventricular Cardiomyopathy Gang Wang, Jiang Nan, Yi Zhu The first hospital of Lanzhou University, Lanzhou, China Impact: Quantitative water-fat CMR revealed 36.84% focal myocardial fat (vs 0.91 % remote), increasing diagnostic certainty for ARVC and prompting electrophysiology referral and ICD consideration. mDIXON-Quant PDFF mapping provided actionable, substrate-level information beyond cine/LGE, directly impacting patient management
		660-02-014. Semi-automated 3D segmentation of renal sinus fat Iulia Savescu, Joao Periquito, Kywe Soe, Nicolas Grenier, Kanishka Sharma, Dinesh Selvarajah, Mark Mark Gilchrist, Maria Gomez, Kim Gooding, Angela Shore, Steven Sourbron University of Exeter Medical School, Exeter, United Kingdom Impact: This study advances early detection of kidney pathophysiology disease by improving renal sinus fat (RSF) measurement. Creating accurate, AI-ready RSF segmentations enables future automated analysis, enhancing understanding of RSF role in diabetes, obesity, and kidney disease progression for precision medicine.