01bui / fastreg

fast non-rigid medical image registration via accelerated optimisation on the manifold of diffeomorphisms

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fastreg

implementation of "fastreg: fast non-rigid registration via accelerated optimisation on the manifold of diffeomorphisms", accepted for the 26th conference on information processing in medical imaging (ipmi 2019)

paper: arxiv

dependencies

  • boost
  • itk
  • nvidia gpu with cuda >=8.0.44
  • opencv

building

source setup.sh -a

usage

images must be of type float32 and labels of type int16

./build/bin/app ./params.ini <path_to_target> <path_to_target_labels> <path_to_source> <path_to_source_labels> <output_path>

reference

D. Grzech et al., “FastReg: Fast Non-Rigid Registration via Accelerated Optimisation on the Manifold of Diffeomorphisms”, 2019.

About

fast non-rigid medical image registration via accelerated optimisation on the manifold of diffeomorphisms

License:BSD 3-Clause "New" or "Revised" License


Languages

Language:C++ 51.6%Language:Cuda 42.5%Language:CMake 5.2%Language:Shell 0.8%