Metadata-Version: 2.4
Name: niwrap_niftyreg
Version: 1.0.0
Summary: NiftyReg is an open-source medical image registration toolkit that provides tools for rigid, affine, and non-linear registration of medical images. It implements a block-matching approach (reg_aladin) for global registration and a fast free-form deformation algorithm based on cubic B-splines (reg_f3d) for non-linear registration, with both CPU and GPU implementations. NiftyReg was developed at the Centre for Medical Image Computing (CMIC) at University College London.
Author: Marc Modat, Pankaj Daga, M. Jorge Cardoso, David Cash, Sebastien Ourselin
License: MIT
Requires-Python: >=3.10
Description-Content-Type: text/markdown
Requires-Dist: styxdefs<0.8.0,>=0.7.0

# NiWrap wrappers for [NiftyReg](https://github.com/KCL-BMEIS/niftyreg)

NiftyReg is an open-source medical image registration toolkit that provides tools for rigid, affine, and non-linear registration of medical images. It implements a block-matching approach (reg_aladin) for global registration and a fast free-form deformation algorithm based on cubic B-splines (reg_f3d) for non-linear registration, with both CPU and GPU implementations. NiftyReg was developed at the Centre for Medical Image Computing (CMIC) at University College London.

NiftyReg is made by Marc Modat, Pankaj Daga, M. Jorge Cardoso, David Cash, Sebastien Ourselin.

This package contains wrappers only and has no affiliation with the original authors.
