Pocs-enhanced correction of motion artifacts in parallel MRI

Alexey A. Samsonov, Julia Velikina, Youngkyoo Jung, Eugene G. Kholmovski, Chris R. Johnson, Walter F. Block

Research output: Contribution to journalArticlepeer-review

17 Scopus citations


A new method for correction of MRI motion artifacts induced by corrupted k-space data, acquired by multiple receiver coils such as phased arrays, is presented. In our approach, a projections onto convex sets (POCS)-based method for reconstruction of sensitivity encoded MRI data (POCSENSE) is employed to identify corrupted k-space samples. After the erroneous data are discarded from the dataset, the artifact-free images are restored from the remaining data using coil sensitivity profiles. The error detection and data restoration are based on informational redundancy of phased-array data and may be applied to full and reduced datasets. An important advantage of the new POCS-based method is that, in addition to multicoil data redundancy, it can use a priori known properties about the imaged object for improved MR image artifact correction. The use of such information was shown to improve significantly k-space error detection and image artifact correction. The method was validated on data corrupted by simulated and real motion such as head motion and pulsatile flow. Magn Reson Med 63:1104-1110, 2010.

Original languageEnglish (US)
Pages (from-to)1104-1110
Number of pages7
JournalMagnetic Resonance in Medicine
Issue number4
StatePublished - May 1 2010


  • Constrained reconstruction
  • Motion artifact
  • Parallel MRI
  • POCS

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


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