Frequency and phase drift correction of magnetic resonance spectroscopy data by spectral registration in the time domain

Jamie Near, Richard Edden, C. John Evans, Raphaël Paquin, Ashley Harris, Peter Jezzard

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: Frequency and phase drifts are a common problem in the acquisition of in vivo magnetic resonance spectroscopy (MRS) data. If not accounted for, frequency and phase drifts will result in artifactual broadening of spectral peaks, distortion of spectral lineshapes, and a reduction in signal-to-noise ratio (SNR). We present herein a new method for estimating and correcting frequency and phase drifts in in vivo MRS data.

Methods: We used a simple method of fitting each spectral average to a reference scan (often the first average in the series) in the time domain through adjustment of frequency and phase terms. Due to the similarity with image registration, this method is referred to as "spectral registration." Using simulated data with known frequency and phase drifts, the performance of spectral registration was compared with two existing methods at various SNR levels. Results: Spectral registration performed well in comparison with the other methods tested in terms of both frequency and phase drift estimation.

Conclusions: Spectral registration provides an effective method for frequency and phase drift correction. It does not involve the collection of navigator echoes, and does not rely on any specific resonances, such as residual water or creatine, making it highly versatile.

Original languageEnglish (US)
Pages (from-to)44-50
Number of pages7
JournalMagnetic resonance in medicine
Volume73
Issue number1
DOIs
StatePublished - Jan 1 2015

Keywords

  • B drift
  • Frequency drift
  • Magnetic resonance spectroscopy
  • Motion correction
  • Phase drift

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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