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Updated: Jun 10, 2026

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
Published on: February 19, 2021
J-refocused coherence transfer spectroscopic imaging at 7 T in human brain
J W Pan1, N Avdievich, H P Hetherington
1Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut 06520-0882, USA. jullie.pan@yale.edu
This study introduces a new double echo J-refocused coherence transfer sequence for 7 Tesla (T) magnetic resonance spectroscopy. The method improves cerebral amino acid detection by reducing macromolecule interference and J-modulation, enhancing accuracy in neurological assessments.
Area of Science:
- Neuroimaging
- Magnetic Resonance Spectroscopy
- Biophysics
Background:
- Short echo time (TE) acquisitions in magnetic resonance spectroscopy (MRS) are susceptible to macromolecule interference, complicating baseline determination.
- J-evolution of cerebral amino acids causes signal modulation, which is problematic for accurate quantification.
Purpose of the Study:
- To implement and validate a double echo J-refocused coherence transfer sequence at 7 Tesla (T) for improved MRS.
- To minimize J-modulation of amino acids and reduce macromolecule signal interference.
Main Methods:
- A double echo J-refocused coherence transfer sequence with an echo time (TE) of 34 msec was implemented at 7 T.
- Radiofrequency (RF) shimming with a transceiver array ensured B(1) sufficiency.
- Alternate RF distribution minimized receiver phase cancellation for accurate phase determination.
Main Results:
- Simulations at 7 T demonstrated excellent resolution of glutamate, glutamine, and N-acetyl aspartate.
- The method achieved accurate phase determination for coherence transfer with rapid single scan calibration.
- Spectroscopic imaging in healthy volunteers yielded metabolite values consistent with existing literature.
Conclusions:
- The developed double echo sequence effectively minimizes J-modulation and macromolecule interference at 7 T.
- This technique offers improved accuracy for metabolite quantification in neurological studies.
- The method shows promise for clinical applications, as demonstrated in an epilepsy patient.
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