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IMAge RegisTration Library (IMART)

This is a registration library using cpu, gpu and any other parallel hardware supporting OpenMP, OpenCL or CUDA. The aim is to achieve real-time deformable registration and reduce computational time for deformable registration.

Desing decisions:

  • Library is header only. This simplify template creation. Template class definition short and only brief descriptions. Functions names intuitive.
  • ITK core for image and transformations interface (reading and writing files).
  • A container is defined as the main class to support vector operations. These classes are: vector_cpu, vector_opencl, vector_cuda.

Dependencies:

  • ITK (read/write images)
  • VTK (visualize images)
  • Boost (program options)
  • OpenMP, OpenCL, CUDA
  • FFT libraries: fftw3 (CPU), clfft (OpenCL)

Ubuntu

Installing all dependencies in ubuntu.

General dependencies:
# apt install -y cmake git wget libfftw3-dev
OpenCL dependencies:
# apt install -y opencl-headers opencl-c-headers opencl-clhpp-headers
# apt install -y clinfo ocl-icd-libopencl1 ocl-icd-opencl-dev beignet-opencl-icd
Boost libraries:
# apt install -y libboost1.65-dev libboost-program-options1.65-dev
ITK libraries:
# apt install -y libinsighttoolkit4.12 libinsighttoolkit4-dev insighttoolkit4-examples
VTK libraries:
# apt install -y tzdata libvtk7.1 libvtk7-dev vtk7 vtk7-examples

Arch Linux

Install all dependencies.

# pacman -S cmake git fftw opencl-headers cuda boost vtk

Install from AUR:
insight-toolkit

Build

In the project folder use cmake to build.

mkdir build
cd build
cmake .. -DBUILD_EXAMPLES=ON -DBUILD_TESTS=OFF -DBUILD_BENCHMARKS=ON -DIMART_WITH_OPENCL=ON -DIMART_WITH_CUDA=ON

Change ON or OFF based on your dependencies and system capabilities. For instance, you can disable CLFFT with the option -DIMART_WITH_CLFFT=OFF