The TONIQ repository provides an ensemble of tools & resources for benchmarking the image quality performance of MRI techniques. TONIQ was initially released in support of this paper. If you use any materials from this repository please acknowledge our work with the following citation.
Toews AR, Lee PK, Nayak KS, Hargreaves BA. Comprehensive assessment of nonuniform image quality: Application to imaging near metal. Magn Reson Med. 2024;1-15. doi: 10.1002/mrm.30222
The TONIQ repository supports the reproduction and adaptation of work described in the above paper. In particular, the toolbox can allow you to:
- Reproduce all paper figures from the provided image data
- use the TONIQ analysis Python package to generate quantitative maps of image quality factors, including:
- intensity artifact
- geometric distortion
- signal-to-noise ratio
- spatial resolution
- Build your own modular phantom and use it to benchmark non-uniform image quality
The scans folder contains all image data used in the paper, along with practical advice for scanning your own modular phantom.
The analysis folder has everything you need to analyze the image data, including:
- installation guide
- TONIQ Python package
- Python scripts for reproducing each figure in the paper
The figures folder contains all figures from the paper.
The phantom folder has everything you need to develop your own modular phantom, including:
- phantom design files & product links
- guidance for adapting the design to another implant
- fabrication instructions (e.g. print settings)
Please direct any questions or recommendations for the toolbox to Alex Toews ([email protected]).
The toolbox is intended for research use only and NOT FOR DIAGNOSTIC USE. It comes without any warranty.