Field camera versus phantom-based measurement of the gradient system transfer function (GSTF) with dwell time compensation

Magn Reson Imaging. 2020 Sep:71:125-131. doi: 10.1016/j.mri.2020.06.005. Epub 2020 Jun 10.

Abstract

Purpose: The gradient system transfer function (GSTF) can be used to describe the dynamic gradient system and applied for trajectory correction in non-Cartesian MRI. This study compares the field camera and the phantom-based methods to measure the GSTF and implements a compensation for the difference in measurement dwell time.

Methods: The self-term GSTFs of a MR system were determined with two approaches: 1) using a dynamic field camera and 2) using a spherical phantom-based measurement with standard MR hardware. The phantom-based GSTF was convolved with a box function to compensate for the dwell time dependence of the measurement. The field camera and phantom-based GSTFs were used for trajectory prediction during retrospective image reconstruction of 3D wave-CAIPI phantom images.

Results: Differences in the GSTF magnitude response were observed between the two measurement methods. For the wave-CAIPI sequence, this led to deviations in the GSTF predicted trajectories of 4% compared to measured trajectories, and residual distortions in the reconstructed phantom images generated with the phantom-based GSTF. Following dwell-time compensation, deviations in the GSTF magnitudes, GSTF-predicted trajectories, and resulting image artifacts were eliminated (< 0.5% deviation in trajectories).

Conclusion: With dwell time compensation, both the field camera and the phantom-based GSTF self-terms show negligible deviations and lead to strong artifact reduction when they are used for trajectory correction in image reconstruction.

Keywords: Dwell time compensation; Field camera; Gradient impulse response function; Gradient system transfer function; Trajectory correction; Wave Wave-CAIPI imaging.

Publication types

  • Research Support, N.I.H., Intramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Artifacts
  • Humans
  • Imaging, Three-Dimensional
  • Magnetic Resonance Imaging / instrumentation*
  • Phantoms, Imaging*
  • Retrospective Studies