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Wide-field Single-photon Optical Recording in Brain Slices Using Voltage-sensitive Dye

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Spatial Hadamard encoding of J-edited spectroscopy using slice-selective editing pulses.

Kimberly L Chan^1,2,3, Georg Oeltzschner^2,3, Michael Schär²

¹Department of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.

NMR in Biomedicine

|January 28, 2017

Summary

This summary is machine-generated.

A new method called SHERPA enables faster, simultaneous dual-voxel magnetic resonance spectroscopy (MRS) for detecting multiple molecules like gamma-aminobutyric acid (GABA). This technique accelerates scans without losing signal-to-noise ratio (SNR) and works with standard equipment.

Keywords:

GABA dual voxel glutathione lactate spectral editing

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Area of Science:

Magnetic Resonance Imaging
Neuroimaging
Spectroscopy

Background:

Dual-voxel J-difference spectral editing is crucial for in vivo metabolite quantification.
Conventional methods face limitations in speed and efficiency for simultaneous multi-metabolite detection.

Purpose of the Study:

To introduce and validate Spatial Hadamard Editing and Reconstruction for Parallel Acquisition (SHERPA) for simultaneous dual-voxel MRS.
To assess SHERPA's performance in phantom and human studies at 3 Tesla.

Main Methods:

Developed a theoretical framework for SHERPA, integrating gradient pulses with frequency-selective editing pulses.
Performed spectral simulations for gamma-aminobutyric acid (GABA), glutathione, and lactate.
Tested SHERPA on a GABA phantom and in vivo in 10 healthy subjects at 3 Tesla.

Main Results:

SHERPA demonstrated successful implementation at 3 Tesla, yielding results comparable to conventional MEGA-PRESS.
Phantom and in vivo experiments showed excellent agreement with established methods.
Simulations indicated minimal (approx. 2%) editing efficiency loss and voxel contamination for GABA editing.

Conclusions:

SHERPA enables accelerated, simultaneous dual-voxel MRS with minimal SNR loss, suitable for single-channel coils.
The method offers significant speed advantages (2-4x acceleration) over conventional single-voxel editing.
SHERPA provides a robust and efficient approach for in vivo multi-metabolite quantification.