Fast and accurate online sequential learning of respiratory motion with random convolution nodes for radiotherapy applications

• Main Authors: Wang, Yubo, Yu, Zhibin, Sivanagaraja, Tatinati, Veluvolu, Kalyana C.
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Radiotherapy; Respiratory Motion
• Online Access: https://hdl.handle.net/10356/155268
• Institution: Nanyang Technological University

Accurate prediction of tumor motion for motion adaptive radiotherapy has been a challenge as respiration-induced motion is non-stationary in nature and often subjected to irregularities. Despite having a plethora of works for predicting this motion, their tracking capabilities are usually prone to l...