Lipid-targeted echo-planar spectroscopic imaging for in-vivo quantification of lipid composition

Motivation: Investigating lipid composition in different tissues in vivo is essential. Demand exists for rapid, high-resolution chemical-shift imaging to analyze lipids. Goal(s): We aimed to employ EPSI to simultaneously target lipid signals and suppress water, enabling precise in-vivo quantification of lipid composition in various tissues for the first time. Approach: We implemented EPSI incorporating chemical-shift-selective adiabatic-refocusing pulses for lipid refocusing, with a full-automated pipeline for data reconstruction and lipid composition calculation. Results: Phantom and in-vivo experiments validate the technique's effectiveness. The technique successfully differentiates various vegetable oils and lipid emulsions precisely and quantifies lipid composition with high spatial resolution in mice’s neck and abdomen. Impact: Lipid-targeted EPSI technology surpasses traditional single-voxel spectroscopy or multi-echo chemical-shift water-fat imaging by providing higher spatial and spectral resolution, empowering researchers with deeper insights into lipid metabolism for future investigations.

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
2024-11-26
DOI
https://doi.org/10.58530/2024/3178
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
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article

Lipid-targeted echo-planar spectroscopic imaging for in-vivo quantification of lipid composition

Chunpei Cai, Shuai You, Yi‐Cheng Hsu, Dingyi Lin 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
Spectroscopy Techniques in Biomedical and Chemical Research
article

Lipid-targeted echo-planar spectroscopic imaging for in-vivo quantification of lipid composition

Chunpei Cai, Shuai You, Yi‐Cheng Hsu, Dingyi Lin, Ke Zhou, Yufan Zhou, Jiaqiang Zhou, Yang Cao, Min Wang
article en

Abstract

Motivation: Investigating lipid composition in different tissues in vivo is essential. Demand exists for rapid, high-resolution chemical-shift imaging to analyze lipids. Goal(s): We aimed to employ EPSI to simultaneously target lipid signals and suppress water, enabling precise in-vivo quantification of lipid composition in various tissues for the first time. Approach: We implemented EPSI incorporating chemical-shift-selective adiabatic-refocusing pulses for lipid refocusing, with a full-automated pipeline for data reconstruction and lipid composition calculation. Results: Phantom and in-vivo experiments validate the technique's effectiveness. The technique successfully differentiates various vegetable oils and lipid emulsions precisely and quantifies lipid composition with high spatial resolution in mice’s neck and abdomen. Impact: Lipid-targeted EPSI technology surpasses traditional single-voxel spectroscopy or multi-echo chemical-shift water-fat imaging by providing higher spatial and spectral resolution, empowering researchers with deeper insights into lipid metabolism for future investigations.

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
Clean water and sanitation
Openalex Percentile: Top 86%
Spectroscopy Techniques in Biomedical and Chemical Research
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Lipid-targeted echo-planar spectroscopic imaging for in-vivo quantification of lipid composition — Chunpei Cai, Shuai You, 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 (2024) | TGRS Research Map | TGRS