Awesome
SimpleReg
SimpleReg is a Python-based open-source toolkit that provides tools helpful for (medical) image registration and processing. Interfaces to the following registration frameworks are available:
- SimpleITK
- NiftyReg
- FLIRT
- ITK_NiftyMIC as an extension to WrapITK
The algorithm and software were developed by Michael Ebner at the Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London (UCL) (2015 -- 2019), and the Department of Surgical and Interventional Sciences, King's College London (KCL) (since 2019).
If you have any questions or comments, please drop an email to michael.ebner@kcl.ac.uk.
Installation
SimpleReg was developed in
- Mac OS X 10.10 and 10.12
- Ubuntu 14.04 and 16.04
and tested for Python 2.7.12 and 3.5.2.
Install required external tools and libraries by following the
Clone the SimpleReg repository by
git clone git@github.com:gift-surg/SimpleReg.git
Install all Python-dependencies by
pip install -r requirements.txt
Install SimpleReg by running
pip install .
Check installation via
python -m nose tests/installation_test.py
Licensing and Copyright
Copyright (c) 2019 Michael Ebner and contributors. This framework is made available as free open-source software under the BSD-3-Clause License. Other licenses may apply for dependencies.
Funding
This work is partially funded by the UCL Engineering and Physical Sciences Research Council (EPSRC) Centre for Doctoral Training in Medical Imaging (EP/L016478/1), the Innovative Engineering for Health award (Wellcome Trust [WT101957] and EPSRC [NS/A000027/1]), and supported by researchers at the National Institute for Health Research University College London Hospitals (UCLH) Biomedical Research Centre.