Corpus ID: 19227628

Elastic Registration of Medical Images With GANs

@article{Mahapatra2018ElasticRO,
  title={Elastic Registration of Medical Images With GANs},
  author={D. Mahapatra and S. Sedai and R. Garnavi},
  journal={ArXiv},
  year={2018},
  volume={abs/1805.02369}
}
Conventional approaches to image registration consist of time consuming iterative methods. [...] Key Method Our approach uses generative adversarial networks (GANs) that eliminates the need for time consuming iterative methods, and directly generates the registered image with the deformation field. Appropriate constraints in the GAN cost function produce accurately registered images in less than a second. Experiments demonstrate their accuracy for multimodal retinal and cardiac MR image registration.Expand
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