Dilated FCN for Multi-Agent 2D/3D Medical Image Registration

@inproceedings{Miao2018DilatedFF,
  title={Dilated FCN for Multi-Agent 2D/3D Medical Image Registration},
  author={Shun Miao and Sebastien Piat and Peter Walter Fischer and Ahmet Tuysuzoglu and Philip Walter Mewes and Tommaso Mansi and Rui Liao},
  booktitle={AAAI},
  year={2018}
}
2D/3D image registration to align a 3D volume and 2D X-ray images is a challenging problem due to its ill-posed nature and various artifacts presented in 2D X-ray images. In this paper, we propose a multi-agent system with an auto attention mechanism for robust and efficient 2D/3D image registration. Specifically, an individual agent is trained with dilated Fully Convolutional Network (FCN) to perform registration in a Markov Decision Process (MDP) by observing a local region, and the final… CONTINUE READING
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