|Title: Prediction of respiratory motion with a multi-frequency based Extended Kalman Filter International Journal of Computer Assisted Radiology and Surgery CARS'2007|
|Written by: L. Ramrath and A. Schlaefer and F. Ernst and S. Dieterich and A. Schweikard|
|Volume: 21 Number: 2|
|on pages: 56-58|
|Organization: Computer Assisted Radiology and Surgery (CARS)|
Abstract: 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.