New strategy for reconstructing partial-fourier imaging data in functional MRI

Xiaodong Zhang, Essa Yacoub, Xiaoping Hu

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


Most partial Fourier (PF) approaches use a low-resolution phase estimate in the reconstruction to account for non-zero phases of the image. These methods may fail when there are large phase errors, a situation commonly encountered in T2-* weighted functional MRI (fMRI). To mitigate this problem, a method was developed based on the inversion of a matrix formulated according to a phase map derived from iterative reconstruction. To make this method computationally practical for fMRI, a strategy was introduced such that the matrix inversion is performed only once for each slice in the time series, assuming that the phase map remains constant in the time series. To ensure the temporal phase invariance, physiological noise correction and global phase correction were applied to the data before the reconstruction. This method was demonstrated to be robust and efficient for fMRI.

Original languageEnglish (US)
Pages (from-to)1045-1048
Number of pages4
JournalMagnetic resonance in medicine
Issue number5
StatePublished - 2001


  • FMRI
  • Partial Fourier imaging
  • Phase correction
  • Physiological noise
  • Singular value decomposition


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