About#
mdreg is developed by the medical imaging group at the University of Sheffield, UK.
Contact: Steven Sourbron.
A first python implementation of model-driven registration was developed for use in quantitative renal MRI in the iBEAt study, and compared against group-wise model-free registration implemented in elastix (Tagkalakis F, et al. Model-based motion correction outperforms a model-free method in quantitative renal MRI. Abstract-1383, ISMRM 2021).
The code base has since been rewritten from scratch. Up to version 0.3.x, development and deployment was funded by the Innovative Medicines Initiative through the BEAt-DKD project.
The coregistration engines for mdreg are itk-elastix and scikit-image.
These are the current maintainers of mdreg:
These are the current contributors of mdreg:
Acknowledgement#
mdreg was supported by BEAt-DKD, TRISTAN, UKAT and AFiRM
(.. more detail coming soon.. ).
The iBEAt study is part of the BEAt-DKD project. The BEAt-DKD project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 115974. This Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation programme and EFPIA with JDRF. For a full list of BEAt-DKD partners, see www.beat-dkd.eu.
The TRISTAN project receives funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 116106. This Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation programme and EFPIA.