Abstract
In robotic radiosurgery, a photon beam source, moved by a robot arm, is used to ablate tumors. The accuracy of the treatment can be improved by predicting respiratory motion to compensate for system delay. We consider a wavelet-based multiscale autoregressive prediction method. The algorithm is extended by introducing a new exponential averaging parameter and the use of the Moore-Penrose pseudo inverse to cope with long-term signal dependencies and system matrix irregularity, respectively. In test cases, this new algorithm outperforms normalized LMS predictors by as much as 50%. With real patient data, we achieve an improvement of around 5 to 10%.
Original language | English |
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Title of host publication | MICCAI 2007: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007 |
Number of pages | 8 |
Volume | 4792 |
Publisher | Springer Verlag |
Publication date | 01.12.2007 |
Pages | 668-675 |
ISBN (Print) | 978-3-540-75758-0 |
ISBN (Electronic) | 978-3-540-75759-7 |
DOIs | |
Publication status | Published - 01.12.2007 |
Event | 10th International Conference on Medical Imaging and Computer-Assisted Intervention - Brisbane, Australia Duration: 29.10.2007 → 02.11.2007 Conference number: 71013 |