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Motion correction and lipid suppression for 1H magnetic resonance spectroscopy
J M Star-Lack1, E Adalsteinsson, G E Gold
1Department of Radiology, Stanford University, California 94305, USA.
Magnetic Resonance in Medicine
|March 22, 2000
Summary
This study introduces a new magnetic resonance spectroscopy method for effective lipid suppression and motion correction in vivo. The technique successfully maintained metabolite signal intensity, improving spectral quality for various organs.
Area of Science:
- Magnetic Resonance Imaging
- Biomedical Spectroscopy
- Medical Physics
Background:
- Lipid suppression is crucial for accurate in vivo magnetic resonance spectroscopy (MRS) of aqueous metabolites.
- Motion artifacts significantly degrade MRS data quality, necessitating robust correction strategies.
- Existing PRESS-based sequences often struggle with complete lipid suppression and motion correction.
Purpose of the Study:
- To develop and validate a PRESS-based MRS sequence with enhanced lipid suppression and motion correction capabilities.
- To assess the performance of the novel sequence in phantoms and human subjects.
- To evaluate the utility of the sequence for analyzing metabolites in the liver, kidney, and breast.
Main Methods:
- Incorporation of spectral/spatial spin-echo pulses with asymmetric excitation profiles into a PRESS sequence.
- Acquisition of 1H MRS data at 1.5 Tesla from a motion phantom and in vivo (liver, kidney, breast).
- Implementation of a regularization algorithm for phasing residual water signal to correct motion-induced phase variations.
Main Results:
- Complete suppression of lipids in the chemical shift stopband was achieved.
- Full metabolite signal intensity was maintained post-processing.
- Identified resonances in liver/kidney spectra attributed to trimethylammonium moieties (betaine plus choline) and potentially glycogen.
- Observed significantly elevated choline signal in breast cancer tissue compared to normal tissue.
Conclusions:
- The developed MRS technique effectively suppresses lipids and corrects for motion artifacts.
- The method preserves metabolite signal intensity, enabling reliable in vivo spectral acquisition.
- The technique shows promise for clinical applications, particularly in detecting metabolic changes like elevated choline in breast cancer.