Predictive Local Receptive Fields Based Respiratory Motion Tracking For Motion-Adaptive Radiotherapy
Extracranial robotic radiotherapy employs external markers and a correlation model to trace the tumor motion caused by the respiration. The real-time tracking of tumor motion however requires a prediction model to compensate the latencies induced by the software (image data acquisition and processin...
Saved in:
Main Authors: | Wang, Yubo, Tatinati, Sivanagaraja, Huang, Liyu, Hong, Kim Jeong, Shafiq, Ghufran, Veluvolu, Kalyana C., Hoong, Andy Khong Wai |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2017
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/83010 http://hdl.handle.net/10220/42910 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Fast and accurate online sequential learning of respiratory motion with random convolution nodes for radiotherapy applications
by: Wang, Yubo, et al.
Published: (2022) -
Impact of chest wall motion caused by respiration in adjuvant radiotherapy for postoperative breast cancer patients
by: C. Lowanichkiattikul, et al.
Published: (2017) -
Generic Object Recognition with Local Receptive Fields Based Extreme Learning Machine
by: Bai, Zuo, et al.
Published: (2015) -
Automatic identification of systolic time intervals in seismocardiogram
by: Shafiq, Ghufran, et al.
Published: (2018) -
Selection diversity combining diversity reception of DQPSK for indoor millimetrewave communications
by: Choo, L.C., et al.
Published: (2014)