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A 3T MRS Sequence for Quantification of Glutathione in Human Brain Using Stepwise Filtering
Xue Yang1,2, Da-Xiu Wei1,2, Huilin Zhang1,2
1Institute of Magnetic Resonance and Molecular Imaging in Medicine, East China Normal University, Shanghai, China.
A new StepWIse FilTering Point-Resolved Spectroscopy (SWIFT-PRESS) sequence enables precise in vivo quantification of brain glutathione (GSH) by overcoming spectral overlap. This method reveals detailed GSH distribution, aiding research into oxidative stress disorders.
Area of Science:
- Neuroimaging
- Magnetic Resonance Spectroscopy
- Biochemistry
Background:
- In vivo brain glutathione (GSH) quantification is challenging due to significant spectral overlap in conventional 1H MRS.
- Existing methods struggle to simultaneously isolate GSH signals and eliminate interfering signals.
Purpose of the Study:
- To develop a novel StepWIse FilTering Point-Resolved Spectroscopy (SWIFT-PRESS) sequence to overcome spectral overlap limitations in brain GSH quantification.
- To enable specific, stable, and quantitative in vivo detection of brain GSH.
Main Methods:
- Developed SWIFT-PRESS by transposing stepwise filtering from signal processing to quantum spin dynamics.
- Utilized a cascaded architecture of customized filter modules to circumvent single-pass filter limitations.
- Benchmarked SWIFT-PRESS against conventional PRESS and MEGA-PRESS sequences.
Main Results:
- SWIFT-PRESS successfully eliminated creatine interference with ~70% GSH retention.
- Demonstrated high selectivity and robustness in vivo in the parietal lobe and basal ganglia.
- Achieved precise mean GSH concentrations (2.45 mM parietal, 2.88 mM basal ganglia) and revealed inhomogeneous GSH distribution in the basal ganglia.
Conclusions:
- SWIFT-PRESS overcomes conventional spectral editing limitations for specific, stable, and quantitative in vivo brain GSH detection.
- The technique provides insights into micro-regional metabolic heterogeneity.
- Establishes a foundation for advanced clinical investigations of oxidative stress-related disorders.
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