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Gradient waveform pre-emphasis based on the gradient system transfer function.

Manuel Stich^1,2, Tobias Wech¹, Anne Slawig¹

¹Department of Diagnostic and Interventional Radiology, University of Würzburg, Würzburg, Germany.

Magnetic Resonance in Medicine

|February 27, 2018

Summary

This summary is machine-generated.

This study introduces gradient system transfer function (GSTF) pre-emphasis to correct distorted k-space trajectories in MRI. This method successfully suppresses image artifacts, enabling reconstruction with the intended trajectory.

Keywords:

GIRF GSTF gradient impulse response gradient system transfer function gradient waveform pre-emphasis linear and time-invariant system

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Area of Science:

Magnetic Resonance Imaging (MRI)
Image Reconstruction
Signal Processing

Background:

K-space trajectory distortions in MRI lead to image artifacts.
The gradient system transfer function (GSTF) characterizes these distortions.

Purpose of the Study:

To utilize the GSTF for determining pre-emphasis to achieve undistorted gradient output.
To enable accurate k-space trajectory reconstruction in MRI.

Main Methods:

Determined the MR system's GSTF using standard hardware.
Applied GSTF for trajectory prediction and gradient waveform pre-emphasis.
Tested on gradient-echo sequences with phase-encoding modulation and spiral read-out, using phantoms and in vivo head scans.

Main Results:

GSTF-based pre-emphasis successfully suppressed image artifacts.
Achieved comparable results to GSTF-based post-correction during image reconstruction.
Pre-emphasis allowed reconstruction using the initially intended k-space trajectory.

Conclusions:

The GSTF is effective for novel pre-emphasis strategies in MRI.
GSTF-based pre-emphasis can be applied to any MRI sequence type.
This approach enhances image quality by correcting trajectory distortions.