In radiotherapy, the position of thoracic-abdominal tumor is changing due to respiratory
motion. Real-time tracking of thoracic-abdominal tumors is of great significance in improving …

Prediction of respiratory motion is essential for real-time tracking of lung or liver tumours in
radiotherapy to compensate for system latencies. This study compares the performance of …

With the availability of new and more accurate tumour treatment modalities such as high-
intensity focused ultrasound or proton therapy, accurate target location prediction has …

Purpose In precision radiotherapy, the intrafractional motion causes substantial uncertainty.
Traditionally, the target volume is expanded to cover the tumor in all positions. Alternative …

Effective delivery of adaptive radiotherapy requires locating the target with high precision in
real time. System latency caused by data acquisition, streaming, processing and delivery …

This paper investigated the feasibility for improved detection of human respiration using data
fusion based on a multistatic ultra-wideband (UWB) radar. UWB-radar-based respiration …

The extended Kalman filter (EKF) can be used for the purpose of training nonlinear neural
networks to perform desired input-output mappings. To improve the computational …

Accurate weather forecasts play an important role in today's world as various sectors such
as marine, navigation, agriculture and industry are basically dependent on weather …

The paper presents a couch-based active motion compensation strategy evaluated in
simulation and validated experimentally using both a research and a clinical Elekta Precise …

Purpose. Respiration-induced motion introduces significant positioning uncertainties in
radiotherapy treatments for thoracic sites. Accounting for this motion is a non-trivial task …