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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 publication

DOI

10.1002/mrm.25094

Type

Journal article

Journal

Magn Reson Med

Publication Date

01/2015

Volume

73

Pages

44 - 50

Keywords

B0 drift, frequency drift, magnetic resonance spectroscopy, motion correction, phase drift, Algorithms, Artifacts, Brain Chemistry, Humans, Magnetic Resonance Spectroscopy, Numerical Analysis, Computer-Assisted, Pattern Recognition, Automated, Radio Waves, Reproducibility of Results, Sensitivity and Specificity, Signal Processing, Computer-Assisted