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Concepts Magn Reson Part A Bridg Educ Res. 2012 Sep;40A(5):253-267. Epub 2012 Sep 26.

The Role of Nonlinear Gradients in Parallel Imaging: A k-Space Based Analysis.

Author information

  • 1Department of Diagnostic Radiology, Yale University, New Haven, CT.
  • 2Department of Biomedical Engineering, Yale University, New Haven, CT.
  • 3Department of Diagnostic Radiology, Yale University, New Haven, CT ; Department of Biomedical Engineering, Yale University, New Haven, CT.
  • 4Department of Diagnostic Radiology, Yale University, New Haven, CT ; Department of Biomedical Engineering, Yale University, New Haven, CT ; Department of Neurosurgery, Yale University, New Haven, CT.

Abstract

Sequences that encode the spatial information of an object using nonlinear gradient fields are a new frontier in MRI, with potential to provide lower peripheral nerve stimulation, windowed fields of view, tailored spatially-varying resolution, curved slices that mirror physiological geometry, and, most importantly, very fast parallel imaging with multichannel coils. The acceleration for multichannel images is generally explained by the fact that curvilinear gradient isocontours better complement the azimuthal spatial encoding provided by typical receiver arrays. However, the details of this complementarity have been more difficult to specify. We present a simple and intuitive framework for describing the mechanics of image formation with nonlinear gradients, and we use this framework to review some the main classes of nonlinear encoding schemes.

KEYWORDS:

O-Space; PatLoc; accelerated imaging; nonlinear imaging; parallel imaging

PMID:
26604857
PMCID:
PMC4655121
DOI:
10.1002/cmr.a.21243
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