Elimination of k-space spikes in fMRI data

Xiaodong Zhang, Pierre Francois Van De Moortele, Josef Pfeuffer, Xiaoping Hu

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

The subtle signal changes in functional magnetic resonance imaging (fMRI) can be easily overwhelmed by noise of various origins. Spikes in the collected fMRI raw data often arise from high-duty usage of the scanner hardware and can introduce significant noise in the image and thereby in the image time series. Consequently, the spikes will corrupt the functional data and degrade the result of functional mapping. In this work, a simple method based on processing the time course of the k-space data are introduced and implemented to remove the spikes in the acquired data. Application of the method to experimental data shows that the methods are robust and effective for eliminating of spike-related noise in fMRI time series.

Original languageEnglish (US)
Pages (from-to)1037-1041
Number of pages5
JournalMagnetic Resonance Imaging
Volume19
Issue number7
DOIs
StatePublished - 2001

Keywords

  • EPI
  • FMRI
  • K-space
  • Spike noise removal

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