A shape-navigated image deformation model for 4D lung respiratory motion estimation

@article{Liu2009ASI,
  title={A shape-navigated image deformation model for 4D lung respiratory motion estimation},
  author={Xiaoxiao Liu and Rohit R. Saboo and Stephen M. Pizer and Gig S. Mageras},
  journal={2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro},
  year={2009},
  pages={875-878}
}
  • Xiaoxiao Liu, Rohit R. Saboo, +1 author Gig S. Mageras
  • Published in
    IEEE International Symposium…
    2009
  • Computer Science, Medicine
  • Intensity modulated radiation therapy (IMRT) for cancers in the lung remains challenging due to the complicated respiratory dynamics. We propose a shape-navigated dense image deformation model to estimate the patient-specific breathing motion using 4D respiratory correlated CT (RCCT) images. The idea is to use the shape change of the lungs, the major motion feature in the thorax image, as a surrogate to predict the corresponding dense image deformation from training. 

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