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Lactate detection at 3T: compensating J coupling effects with BASING
D A Kelley1, L L Wald, J M Star-Lack
1Institute for Magnetic Resonance Research, University of Sydney, Australia. dougk@ziplink.net
Journal of Magnetic Resonance Imaging : JMRI
|May 20, 1999
Summary
Detecting lactate with in vivo 1H magnetic resonance spectroscopy can identify metabolic stress. New methods using BASING/MEGA pulses overcome signal anomalies in PRESS and STEAM sequences at higher field strengths, improving lactate detection accuracy.
Area of Science:
- Biophysics
- Biomedical Imaging
- Metabolic Spectroscopy
Background:
- In vivo 1H magnetic resonance spectroscopy (MRS) detects lactate to identify metabolic stress in tissues like brain.
- Higher field strengths (3 and 4 T) enhance sensitivity but introduce challenges for lactate detection.
- Anomalous J modulation in PRESS and STEAM sequences at high fields causes signal cancellation and inaccurate lactate quantification.
Purpose of the Study:
- To describe a method for eliminating anomalous J modulation in lactate detection using BASING/MEGA water suppression pulses.
- To improve the accuracy of in vivo lactate quantification in human tissues at higher magnetic field strengths.
Main Methods:
- Utilized BASING/MEGA (selective echo dephasing/inversion with gradient dephasing) water suppression techniques.
- Applied these methods to PRESS and STEAM sequences in single voxel and chemical shift imaging studies.
- Investigated the impact of radiofrequency (RF) pulse bandwidth and chemical shift misregistration artifacts.
Main Results:
- The BASING/MEGA method effectively eliminates signal cancellation and spatial variation of lactate signals.
- Accurate lactate concentration determination is achieved, overcoming limitations of standard PRESS and STEAM sequences.
- Demonstrated improved lactate detection in simulated conditions relevant to stroke and tumors.
Conclusions:
- BASING/MEGA water suppression is a robust technique for accurate in vivo lactate detection using 1H MRS.
- This method enhances the reliability of identifying metabolic stress, ischemia, and necrosis.
- Overcomes technical challenges posed by high-field MRS, improving diagnostic potential.