Parallel EPI artifact correction (PEAC) for N/2 ghost suppression in neuroimaging applications.

Academic Article

Abstract

  • Echo Planar Imaging (EPI) is a neuroimaging tool for clinical practice and research investigation. Due to odd-even echo phase inconsistencies, however, EPI suffers from Nyquist N/2 ghost artifacts. In standard neuroimaging protocols, EPI artifacts are suppressed using phase correction techniques that require reference data collected from a reference scan. Because reference-scan based techniques are sensitive to subject motion, EPI performance is sub-optimal in neuroimaging applications. In this technical note, we present a novel EPI data processing technique which we call Parallel EPI Artifact Correction (PEAC). By introducing an implicit data constraint associated with multi-coil sensitivity in parallel imaging, PEAC converts phase correction into a constrained problem that can be resolved using an iterative algorithm. This enables "reference-less" EPI that can improve neuroimaging performance. In the presented work, PEAC is investigated using a standard functional magnetic resonance imaging (fMRI) protocol with multi-slice 2D EPI. It is demonstrated that PEAC can suppress ghost artifacts as effectively as the standard reference-scan based phase correction technique used on a clinical MRI system. We also found that PEAC can achieve dynamic phase correction when motion occurs.
  • Published In

    Keywords

  • Algorithms, Artifacts, Brain, Echo-Planar Imaging, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Motion, Neuroimaging, Reproducibility of Results, Sensitivity and Specificity
  • Digital Object Identifier (doi)

    Author List

  • Li H; Fox-Neff K; Vaughan B; French D; Szaflarski JP; Li Y
  • Start Page

  • 1022
  • End Page

  • 1028
  • Volume

  • 31
  • Issue

  • 6