ArticleMagnetic resonance imaging2020
Field camera versus phantom-based measurement of the gradient system transfer function (GSTF) with dwell time compensation.
Article in Magnetic resonance imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Measuring the vibrational response of a high performance gradient coil.Magnetic resonance imaging · 2026Article
- Comment: naming convention for gradient system transfer function and gradient system frequency response for magnetic resonance imaging encoding field characterization.Magma (New York, N.Y.) · 2026Article
- Next Generation 7 Tesla Arterial Spin Labeling With Rotated Spiral Acquisition Enables Mesoscale Resolution in 3D Brain Perfusion and Functional MRI.Magnetic resonance in medicine · 2026Article
- Cartesian MaxGIRF: Model-based EPI reconstruction incorporating gradient nonlinearity and concomitant field effects.Magnetic resonance in medicine · 2026Article
- Gradient system characterization of a 1.5 T MR-Linac with application to 4D UTE imaging for adaptive MR-guided radiotherapy of lung cancer.Magnetic resonance in medicine · 2025Article
- A single oscillating waveform-based gradient delay estimation.Magnetic resonance imaging · 2025Article
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
Abstract
purposeThe 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.
methodsThe 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.
resultsDifferences 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).
conclusionWith 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.
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