Inductive measurement and encoding of k-space trajectories in MR raw data

Jan Ole Pedersen, Christian G. Hanson, Rong Xue, Lars G. Hanson

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Abstract

The objective of this study was to concurrently acquire an inductive k-space trajectory measure and corresponding imaging data by an MR scanner.  1D gradient measures were obtained by digital integration, regularized using measured gradient coil currents and recorded individually by the scanner concurrently with raw MR data. Gradient measures were frequency modulated into an RF signal receivable by the scanner, yielding a k-space trajectory measure from the cumulative phase of the acquired data. Generation of the gradient measure and frequency modulation was performed by previously developed custom, versatile circuitry.  For a normal echo planar imaging (EPI) sequence, the acquired k-space trajectory measure yielded slightly improved image quality compared to that obtained from using the scanner's estimated eddy current-compensated k-space trajectory. For a spiral trajectory, the regularized inductive k-space trajectory measure lead to a 76% decrease in the root-mean-square error of the reconstructed image.  While the proof-of-concept experiments show potential for further improvement, the feasibility of inductively measuring k-space trajectories and increasing the precision through regularization was demonstrated. The approach may offer an inexpensive method to acquire k-space trajectories concurrently with scanning.
Original languageEnglish
JournalMagnetic Resonance Materials in Physics, Biology and Medicine
Volume32
Issue number6
Pages (from-to)655–667
ISSN0968-5243
DOIs
Publication statusPublished - 2019

Keywords

  • Encoding of signals in MRI raw data
  • Gradient imperfections
  • Inductive measurement of k-space trajectories
  • Magnetic resonance imaging
  • Regularization by current measure

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