The main goal is to provide the community with an intuitive tool for data fitting, plotting, simulation and protocol optimization for a myriad of different quantitative models. The modularity of the implementation makes it easy to add any additional modules and we encourage everyone to contribute their favorite recipe for qMR!
For documentation, visit the Documentation website.
If you are a developer, please visit the Wiki page.
Please report any bug or suggestions in GitHub.
qMRLab is a fork from the initial project qMTLab.
qMRLab
- Duval et al. Quantitative MRI made easy with qMRLab. ISMRM 2018
- Cabana et al. Quantitative magnetization transfer imaging made easy with qMTLab: Software for data simulation, analysis, and visualization. Concepts in Magn Reson 2015
Applications
- Romero and Sinha. Magnetization Transfer Saturation Imaging of Human Calf Muscle: Reproducibility and Sensitivity to Regional and Sex Differences J Magn Reson Imaging 2019
- Michálek et al. Fast and accurate compensation of signal offset for T2 mapping Magn Reson Mater Phy 2019
- Barbieri et al. Circumventing the Curse of Dimensionality in Magnetic Resonance Fingerprinting through a Deep Learning Approach. arXiv:1811.11477
- Varma et al. Low duty-cycle pulsed irradiation reduces magnetization transfer and increases the inhomogeneous magnetization transfer effect. J of Mag Res 2018
- Campbell et al. Promise and pitfalls of g-ratio estimation with MRI. NeuroImage 2018
- Boudreau and Pike. Sensitivity regularization of the Cramér‐Rao lower bound to minimize B1 nonuniformity effects in quantitative magnetization transfer imaging. Mag Res Med 2018
Interactive Tutorials
- Boudreau M. Relaxometry Series: Inversion Recovery T1 Mapping. qMRLab.org 2018
- Boudreau M. Relaxometry Series: Variable Flip Angle T1 Mapping. qMRLab.org 2018
If you use qMRLab in you work, please cite:
Cabana, J.-F., Gu, Y., Boudreau, M., Levesque, I. R., Atchia, Y., Sled, J. G., Narayanan, S., Arnold, D. L., Pike, G. B., Cohen-Adad, J., Duval, T., Vuong, M.-T. and Stikov, N. (2016), Quantitative magnetization transfer imaging made easy with qMTLab: Software for data simulation, analysis, and visualization. Concepts Magn. Reson.. doi: 10.1002/cmr.a.21357
The MIT License (MIT)
Copyright (c) 2016 NeuroPoly, Ecole Polytechnique, Universite de Montreal
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.