Prediction of respiratory motion with a multi-frequency based {Extended Kalman Filter}

Type of publication:  Artikel in einem Konferenzbericht
Buchtitel: Proceedings of the 21st International Conference and Exhibition on Computer Assisted Radiology and Surgery ({CARS}'07)
Serie: International Journal of CARS
Band: 2
Nummer: supp. 1
Jahr: 2007
Seiten: 56--58
Organisation: CARS
Notiz: Motion Compensation in Radiosurgery
Querverweis: CARS07
DOI: 10.1007/s11548-007-0083-7
Abriss: In this work, an Extended Kalman Filter formulation for respiration motion tracking is introduced. Based on the assumption of multiple sinusoidal components contributing to respiratory motion, a state-space model is developed. Performance of the filter is tested on data sets of patients subject to radiotherapy. Comparison to an nLMS predictor shows that the Kalman filter is less sensitive to systematic errors during target prediction.
Nutzerfelder: owner={ernst}, timestamp={2007.03.30}, file={rsed_07.pdf:rsed_07.pdf:PDF}
Autoren: Ramrath, Lukas
Schlaefer, Alexander
Ernst, Floris
Dieterich, Sonja
Schweikard, Achim
  • rsed_07.pdf