Real-Time Patient-Specific Lung Radiotherapy Targeting using Deep Learning

@article{Foote2018RealTimePL,
  title={Real-Time Patient-Specific Lung Radiotherapy Targeting using Deep Learning},
  author={Markus Foote and Blake E. Zimmerman and Amit R. Sawant and Sarang C. Joshi},
  journal={ArXiv},
  year={2018},
  volume={abs/1807.08388}
}
Radiation therapy has presented a need for dynamic tracking of a target tumor volume. Fiducial markers such as implanted gold seeds have been used to gate radiation delivery but the markers are invasive and gating significantly increases treatment time. Pretreatment acquisition of a 4DCT allows for the development of accurate motion estimation for treatment planning. A deep convolutional neural network and subspace motion tracking is used to recover anatomical positions from a single radiograph… Expand
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