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`. ------------------------------------------------------------------------------ .. include:: maintainers.inc ------------------------------------------------------------------------------ .. include:: contributors.inc ------------------------------------------------------------------------------ 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.