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Micron-scale Resolution Optical Tomography of Entire Mouse Brains with Confocal Light Sheet Microscopy
Published on: October 8, 2013
Spectroscopic imaging of the mouse brain
Dennis W J Klomp1, W Klaas Jan Renema
1Department of Radiology, University Medical Center, 3584 CX, Utrecht, The Netherlands. D.W.J.Klomp-2@umcutrecht.nl
Methods in Molecular Biology (Clifton, N.J.)
|August 30, 2011
Summary
Magnetic resonance spectroscopic imaging (MRSI) provides detailed metabolic mapping of the mouse brain. This chapter details methods to overcome challenges in acquiring accurate in vivo MRSI data, including magnetic field shimming and water suppression.
Area of Science:
- Neuroscience
- Biomedical Imaging
- Metabolic Research
Background:
- Magnetic resonance spectroscopic imaging (MRSI) offers comprehensive metabolic insights from the entire mouse brain, surpassing single-voxel analysis.
- Acquiring accurate in vivo MRSI data presents significant technical challenges.
- Key challenges include artifact exclusion, magnetic field uniformity, and water signal suppression.
Purpose of the Study:
- To describe solutions for overcoming technical challenges in in vivo MRSI of the mouse brain.
- To provide a rationale comparing single-voxel magnetic resonance spectroscopy (MRS) with MRSI.
Main Methods:
- Utilizing volume-selective spin perturbation to eliminate external artifacts.
- Implementing accurate B(0) shimming for optimal magnetic field uniformity.
- Employing water signal suppression techniques to prevent spectral contamination and receiver saturation.
Main Results:
- Successful implementation of MRSI allows for spatially mapped metabolic information across the entire brain.
- The described methods address critical challenges in in vivo MRSI data acquisition.
- A comparative analysis of single-voxel MRS and MRSI is presented.
Conclusions:
- The presented techniques enable accurate and comprehensive in vivo MRSI of the mouse brain.
- MRSI provides superior metabolic spatial resolution compared to single-voxel MRS.
- This work facilitates advanced metabolic research in neuroscience using MRSI.
