Forschungsgebiete
- Visualisation NavCARS-EVAR
- Robotics Laboratory
- High-Accuracy Head Tracking
- Bewegungskompensation
- Ultraschallgeführte Strahlenchirurgie
- Modellierung von Herzbewegungen
- Neurologische Modellierungen
- Autonome Elektrofahrzeuge
- Ziel-basierendes lebenslanges
autonomes Lernen - Transkranielle Elektrostimulation
Ehemaligen Forschungsgebiete
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} |
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