Digital Poster
Fat & Water Separation
ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i
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Computer Number: 17
3518. Variable
Flip Angle SPIR for Fat Suppression in APT-weighted Imaging
H. Eggers, J. Keupp
Philips Innovative Technologies, Hamburg, Germany
Impact: Variable flip angle SPIR may alleviate
persisting artifacts from fat signal in APT-weighted imaging
without prolonging the acquisition or requiring elaborate
postprocessing.
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Computer Number: 18
3519. Efficient
distortion-free multi-contrast body imaging with Water/Fat
Separated Echo Planar Time-resolved Imaging
Z. Hu, T. Reese, J. Wu, L. Wald, J. Polimeni, Z. Dong, F.
Wang
Massachusetts General Hospital, Charlestown, United States
Impact: The proposed WFS-EPTI effectively separates
water and fat signals, while providing efficient acquisition
of high-resolution, distortion-free multi-contrast images
with minimal fat-induced artifacts. The feasibility of
WFS-EPTI in body imaging was demonstrated.
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Computer Number: 19
3520. Improved
fat suppression of head and neck MRI using 3D modified
mDixon-TSE with deep learning constrained Compressed SENSE.
Y. Hamatani, M. Yoneyama, Y. Katsumata, M. Nagao, Y. Goto,
I. Shiina, K. Kodaira, T. Ogawa, M. Kato, S. Sakai
Tokyo Women's Medical University Hospital, Tokyo, Japan
Impact: 3D 3-point mDixon TSE with CS-AI provides
high-resolution MRI images with uniform fat suppression.
This technique is expected to accurately delineate small
lesions and tissue structures in the head and neck region.
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Computer Number: 20
3521. DISPUTE
- Dixon Inspired Spectral Prediction UTE
S. Sommer, C. Lumeng, D. Nanz
Swiss Center for Musculoskeletal Imaging (SCMI), Balgrist Campus, Zurich, Switzerland, Zurich, Switzerland
Impact: We present a novel deep-learning Dixon-like
fat/water separation and chemical-shift suppression for
ultra-short echo time (UTE) MRI. Our method predicts
water-only and fat-only images from conventional 7T UTE
data, demonstrating a promising approach for high-field
imaging applications.
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Computer Number: 21
3522. Robust
fat fraction mapping in the presence of magnetic field
inhomogeneities with phase-cycled bSSFP
B. Acikgoz, A. Mackowiak, G. Bongiolatti-Rossi, N. Plähn, E.
Peper, T. Hilbert, J. Bastiaansen
Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
Impact: Mapping and correcting magnetic field
inhomogeneities improves phase-cycled bSSFP fat fraction
mapping, enabling its use in complex anatomical regions such
as liver and potentially broadening its applicability in
low-SNR settings as low-field MRI, where fat fraction
mapping is typically challenging.
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Computer Number: 22
3523. Cross-Sectional
Analysis of the Correlation between Non-Alcoholic Fatty Liver
Disease and Whole-Body Fat Distribution Characteristics
J. Liu, J. Gan, X. Wang, Z. li, Z. Wang, C. Cheng, C. Zou,
D. Yu
Shandong University Affiliated Shandong Provincial Third Hospital, Jinan, China
Impact: High-precision whole-body fat quantification
offers a non-invasive, accurate method for assessing fat
distribution, potentially revolutionizing NAFLD diagnosis
and classification, setting new clinical standards, and
guiding future advancements in lipid metabolic disease
diagnostics.
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Computer Number: 23
3524. Generation
of Water Selective Radiofrequency Pulses for Fat Suppression
Using Optimal Control
M. Obajtek, A. Jaffray, A. Yung, A. Rauscher, C. Graf
University of British Columbia, Vancouver, Canada
Impact: This work demonstrates the feasibility of
designing B1-robust,
water-selective excitation pulses using optimal control that
leave the fat signal unexcited. Initial tests in a fat-water
phantom align with simulations.
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Computer Number: 24
3525. Spectrally
selective and interleaved water imaging and fat imaging (siWIFI)
with fat peak correction
S. H. Shin, Q. Tang, M. Carl, J. Athertya, A. Suprana, J.
Lo, D. Moazamian, D. Berry, E. Chang, J. Du, Y. Ma
UC San Diego, La Jolla, United States
Impact: siWIFI selectively images water and fat,
achieving accurate fat quantification with a simple fat peak
correction. This method is expected to provide robust and
accurate fat quantification for monitoring diseases
involving fat infiltration and metabolic disruption.
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Computer Number: 25
3526. Meal-induced
changes of proton density fat fraction and T2* in
supraclavicular adipose tissue
J. Raspe, T. Du, J. Stelter, M. Wu, M. Klingenspor, T. Skurk,
D. Karampinos
Technical University of Munich, Munich, Germany
Impact:
Human brown adipose tissue (BAT) is metabolically activated by meal consumption. Comparing proton density fat fraction (PDFF) and T2* changes between activation and control experiments, this study is the first to give insights into postprandial responses of BAT using MRI. |
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Computer Number: 26
3527. A
flexible approach for correction of bipolar gradient-induced
effects in fat-water separation
J. Campos Pazmino, R-C Bider, V. Fortier, I. Levesque
McGill University, Montreal, Canada
Impact: We proposed a novel approach that corrects phase
errors and amplitude modulation induced by bipolar readout
gradients. The approach enables broader use of advanced
fat-water separation techniques with bipolar readout
gradient pulses.
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Computer Number: 27
3528. RAIDER-SSL:
Self-supervised machine learning for rapid, anatomy-independent
PDFF and R2* estimation using magnitude-only signals
G. Minore, L. Dwyer-Hemmings, T. Bray, H. Zhang
University College London, London, United Kingdom
Impact: RAIDER-SSL enables PDFF and R2* estimation
from voxel-wise, magnitude-only CSE-MRI data while avoiding
the potential performance loss associatedwith distributional
shift that may appear with supervised learning methods.
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Computer Number: 28
3529. Pixelwise
Fat-Water Separation by Physics-guided Learning with Simulation
Data
S. Kim, S-H Park
Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of
Impact: The proposed method allows to perform fat-water
separation without the acquisition of training data yet
successfully performs fat-water separation. Moreover, the
pixelwise approach ensures fast training and inference with
low computational cost.
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Computer Number: 29
3530. Single-shot
distortion-corrected water-fat separation using multi-echo
blip-rewound EPI for diffusion-weighted imaging
Y. Dong, P. Börnert, Z. Li, X. Ye, M. J. van Osch, K.
Miller, W. Wu
C.J. Gorter MRI Center, Department of Radiology, LUMC, Leiden, Netherlands
Impact: This method provides a time-efficient,
motion-robust approach for water-fat separation and
distortion correction in DWI, improving diagnostic
reliability in complex anatomical regions. Its single-shot
acquisition design holds promise for expanding DWI
applications in both routine clinical and challenging
environments.
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Computer Number: 30
3531. Analysis
of QSM and PDFF Maps in an Animal Model of Duchenne Muscular
Dystrophy
J. Degitz, E. Touchet-Valle, D. Bowen, J. Busher, S. Wright,
P. Nghiem, M. McDougall
Texas A&M University, College Station, United States
Impact: QSM has the potential to identify novel
biomarkers in musculoskeletal disorders, and further
protocol development is needed to ensure reliable results
for in vivo studies.
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