SimpleReg 0.3.2

SimpleReg is a research-focused toolkit that provides tools helpful for (medical) image registration and processing.

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 based at the Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London (UCL) (2015 -- 2019), and at 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 [e-mail].

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

• Installation Instructions of SimpleReg Dependencies

Clone the SimpleReg repository by

• git clone [e-mail]: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.