Spectrally selective and interleaved water imaging and fat imaging (siWIFI) with fat peak correction

Motivation: Water-fat separation and quantification are of critical importance in the MRI assessment of diseases involving fat infiltration. Goal(s): To develop a robust and reliable fat quantification method. Approach: We designed a novel sequence for spectrally selective and interleaved water imaging and fat imaging (siWIFI). We also scaled the acquired images to account for the unselected fat peaks around the water. The sequence was tested in the hip, knee, and liver of healthy volunteers. Results: The fat quantification via siWIFI was improved with fat peak correction. Fat quantifications from subjects were comparable to those from IDEAL scans and were robust against typical B0 inhomogeneity. 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.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/3525
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
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article

Spectrally selective and interleaved water imaging and fat imaging (siWIFI) with fat peak correction

Yajun Ma, Dina Moazamian, Michael Carl, Qingbo Tang et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Metabolomics and Mass Spectrometry Studies
article

Spectrally selective and interleaved water imaging and fat imaging (siWIFI) with fat peak correction

Yajun Ma, Dina Moazamian, Michael Carl, Qingbo Tang, Soo Hyun Shin, Jiyo Athertya, David B. Berry, Eric Chang, James Lo, Arya Suprana, Jiang Du
article en

Abstract

Motivation: Water-fat separation and quantification are of critical importance in the MRI assessment of diseases involving fat infiltration. Goal(s): To develop a robust and reliable fat quantification method. Approach: We designed a novel sequence for spectrally selective and interleaved water imaging and fat imaging (siWIFI). We also scaled the acquired images to account for the unselected fat peaks around the water. The sequence was tested in the hip, knee, and liver of healthy volunteers. Results: The fat quantification via siWIFI was improved with fat peak correction. Fat quantifications from subjects were comparable to those from IDEAL scans and were robust against typical B0 inhomogeneity. 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.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 78%
Metabolomics and Mass Spectrometry Studies
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