Characterization of macromolecular baseline of human brain using metabolite cycled semi-LASER at 9.4T

Ioannis Angelos Giapitzakis, Nikolai Avdievich, Anke Henning

Research output: Contribution to journalArticlepeer-review

19 Scopus citations


Purpose: Macromolecular resonances (MM) arise mainly from cytosolic proteins and overlap with metabolites, influencing metabolite quantification. Macromolecules can serve as valuable biomarkers for diseases and pathologies. The objectives of this study were to characterize MM at 9.4T in the human brain (occipital and left parietal lobe) and to describe the RF coil setup used for MM acquisition in the two regions. Methods: An adiabatic inversion pulse was optimised for metabolite nulling at 9.4T using double inversion recovery and was combined for the first time with metabolite cycled (MC) semi-LASER and appropriate coil configuration. MM spectra (seven volunteers) from two brain locations were averaged and smoothed creating MM templates, which were then parametrized using simulated Voigt-shaped lines within LCModel. Quantification was performed on individual data sets, including corrections for different tissue composition and the T1 and T2 relaxation of water. Results: Our coil configuration method resulted in efficient B1+ (>30 T/√kW) for both brain regions. The 15 MM components were detected and quantified in MM baselines of the two brain areas. No significant differences in concentration levels of MM between different regions were found. Two new MM peaks were reported (M7 & M8). Conclusion: Double inversion, which was combined with MC semi-LASER, enabled the acquisition of high spectral resolution MM spectra for both brain regions at 9.4T. The 15 MM components were detected and quantified. Two new MM peaks were reported for the first time (M7 & M8) and preliminarily assigned to β-methylene protons of aspartyl-groups. Magn Reson Med 80:462–473, 2018.

Original languageEnglish (US)
Pages (from-to)462-473
Number of pages12
JournalMagnetic resonance in medicine
Issue number2
StatePublished - Aug 2018
Externally publishedYes


  • MC semi-LASER
  • MR spectroscopy
  • macromolecular baseline
  • metabolite cycling
  • ultra high field

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


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