Cross-term-compensated gradient waveform design for tensor-valued diffusion MRI

Filip Szczepankiewicz^1,* Jens Sjölund²

1. Clinical Sciences Lund, Lund University, Lund, Sweden
2. Department of Information Technology, Uppsala University, Uppsala, Sweden

Corresponding author
E-mail: [email protected]

Highlights

• Versatile open-source framework for cross-term-compensated gradient waveforms.
• Robust to cross-terms regardless of background gradient magnitude and direction.
• Framework is compatible with tensor-valued diffusion encoding.
• Demonstration of signal and parameter errors for non-comp./comp. waveforms.

Content

This repository contains all the waveforms shown in the paper and supporting information. The optimization framework, including the proposed cross-term nulling, is available in open source at: https://github.com/jsjol/NOW

Reference

If you use these resources, please cite:
Szczepankiewicz and Sjölund, Cross-term-compensated gradient waveform design for tensor-valued diffusion MRI. Journal of Magnetic Resonance, 2021. https://doi.org/10.1016/j.jmr.2021.106991

Supplementary Information including derivation of theory and validation of background gradient estimation.

Related resources can be found at the FWF sequence GIT repository