Unsupervised Landmark Detection Based Spatiotemporal Motion Estimation for 4D Dynamic Medical Images

@article{Guo2021UnsupervisedLD,
  title={Unsupervised Landmark Detection Based Spatiotemporal Motion Estimation for 4D Dynamic Medical Images},
  author={Yuyu Guo and Lei Bi and Dongming Wei and Liyun Chen and Zhengbin Zhu and Dagan Feng and Ruiyan Zhang and Qian Wang and Jinman Kim},
  journal={IEEE transactions on cybernetics},
  year={2021},
  volume={PP}
}
Motion estimation is a fundamental step in dynamic medical image processing for the assessment of target organ anatomy and function. However, existing image-based motion estimation methods, which optimize the motion field by evaluating the local image similarity, are prone to produce implausible estimation, especially in the presence of large motion. In addition, the correct anatomical topology is difficult to be preserved as the image global context is not well incorporated into motion… 

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