VoxelMorph: A Learning Framework for Deformable Medical Image Registration

@article{Balakrishnan2019VoxelMorphAL,
  title={VoxelMorph: A Learning Framework for Deformable Medical Image Registration},
  author={Guha Balakrishnan and Amy Zhao and Mert Rory Sabuncu and John V. Guttag and Adrian V. Dalca},
  journal={IEEE Transactions on Medical Imaging},
  year={2019},
  volume={38},
  pages={1788-1800}
}
We present VoxelMorph, a fast learning-based framework for deformable, pairwise medical image registration. Traditional registration methods optimize an objective function for each pair of images, which can be time-consuming for large datasets or rich deformation models. In contrast to this approach and building on recent learning-based methods, we formulate registration as a function that maps an input image pair to a deformation field that aligns these images. We parameterize the function via… 
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