Real-time prediction of respiratory motion based on a local dynamic model in an augmented space.

@article{Hong2011RealtimePO,
  title={Real-time prediction of respiratory motion based on a local dynamic model in an augmented space.},
  author={S-M Hong and B H Jung and Dan Ruan},
  journal={Physics in medicine and biology},
  year={2011},
  volume={56 6},
  pages={1775-89}
}
Motion-adaptive radiotherapy aims to deliver ablative radiation dose to the tumor target with minimal normal tissue exposure, by accounting for real-time target movement. In practice, prediction is usually necessary to compensate for system latency induced by measurement, communication and control. This work focuses on predicting respiratory motion, which is most dominant for thoracic and abdominal tumors. We develop and investigate the use of a local dynamic model in an augmented space… CONTINUE READING
Highly Cited
This paper has 38 citations. REVIEW CITATIONS
13 Citations
24 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 13 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 24 references

A multiple model approach to respiratory motion prediction

  • D Putra, O CHaas, J AMills, K JBurnham
  • Acta Oncol
  • 2008
Highly Influential
4 Excerpts

Principles of Dynamics (Englewood Cliffs, NJ: Prentice-Hall

  • D TGreenwood
  • A Maeder (Heidelberg:
  • 1987
Highly Influential
3 Excerpts

A multiple model approach to respiratory motion prediction for real - time IGRT Phys

  • K Reif, S Günther, E Yaz, R Unbehauen
  • . Med . Biol .
  • 2008

Similar Papers

Loading similar papers…