Name
Title | ||
|---|---|---|
Real-time prediction of respiratory motion traces for radiotherapy with ensemble learning. |
Abstract | ||
|---|---|---|
In this paper, we introduce a hybrid method for prediction of respiratory motion to overcome the inherent delay in robotic radiosurgery while treating lung tumors. The hybrid method adopts least squares support vector machine (LS-SVM) based ensemble learning approach to exploit the relative advantages of the individual methods local circular motion (LCM) with extended Kalman filter (EKF) and autoregressive moving average (ARMA) model with fading memory Kalman filter (FMKF). The efficiency the proposed hybrid approach was assessed with the real respiratory motion traces of 31 patients while treating with CyberKnife(TM). Results show that the proposed hybrid method improves the prediction accuracy by approximately 10% for prediction horizons of 460 ms compared to the existing methods. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/EMBC.2014.6944551 | EMBC |
Keywords | Field | DocType |
fading memory kalman filter,ekf,medical robotics,hybrid method,radiation therapy,local circular motion,radiotherapy,prediction accuracy,extended kalman filter,kalman filters,biomedical optical imaging,fmkf,learning (artificial intelligence),cyberknifetm,real-time prediction,robotic radiosurgery,prediction horizons,pneumodynamics,autoregressive moving average processes,lung,autoregressive moving average model,least squares support vector machine,optical tracking,real respiratory motion traces,least squares approximations,arma,lung tumor treatment,tumours,ls-svm,lcm,support vector machines,surgery,medical image processing,respiratory motion prediction,ensemble learning approach,image motion analysis | Computer vision,Extended Kalman filter,Respiratory motion,Computer science,Real time prediction,Artificial intelligence,Ensemble learning,Machine learning | Conference |
Volume | ISSN | Citations |
2014 | 1557-170X | 1 |
PageRank | References | Authors |
0.43 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sivanagaraja Tatinati | 1 | 17 | 5.36 |
| Veluvolu, K.C. | 2 | 44 | 5.07 |
| Sun-Mog Hong | 3 | 13 | 3.75 |
| Kianoush Nazarpour | 4 | 75 | 19.08 |