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Time domain removal of irrelevant magnetization in chemical exchange saturation transfer Z-spectra

  • Nirbhay N. Yadav
  • , Kannie W. Y. Chan
  • , Craig K. Jones
  • , Michael T. McMahon
  • , Peter C. M. Van Zijl*
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Purpose To evaluate the possibility of processing Z-spectra using time domain analysis. Methods An inverse Fourier transform (IFT) is applied on Z-spectra, thus transforming the chemical exchange saturation transfer (CEST) data into the time domain. Here, large interfering signals from solvent and semisolid magnetization transfer can be fit and filtered out. The method is demonstrated on a range of phantoms (creatine, a para-CEST agent, and hen egg white) and also in vivo on a mouse brain. Results Using time domain analysis, signal components in Z-spectra could be fit very well, thus enabling irreverent or nuisance components to be removed. The method worked equally well for samples in a solution or a gel where the large contribution from conventional magnetization transfer contrast (MTC) was easily separated out. Results from egg white and mouse brain in vivo data showed that the large water resonance could easily be removed thus allowing the remaining signal to be analyzed without interference from direct water saturation. Conclusions This method successfully filtered out the large nuisance signals from bulk water and MTC in Z-spectra in a large variety of phantom types and also in vivo. It is expected to be a potentially powerful tool for CEST studies without needing asymmetry analysis. © 2013 Wiley Periodicals, Inc.
Original languageEnglish
Pages (from-to)547-555
JournalMagnetic Resonance in Medicine
Volume70
Issue number2
DOIs
Publication statusPublished - Aug 2013
Externally publishedYes

Research Keywords

  • CEST
  • discrete inverse Fourier transform
  • magnetization transfer
  • time domain analysis

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