About#
Note
mdreg is under construction. At this stage, the API may still change and
features may be deprecated without warning.
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.