Research on multi-layer perception motion prediction of breathing on thoracic and abdominal surface under non-therapy
by Yanqiao Zhao; Xiaoyang Yu; Haibin Wu; Xiaoming Sun; Yong Zhou
International Journal of Nanotechnology (IJNT), Vol. 18, No. 1/2/3/4, 2021

Abstract: When a nano-level radiotherapy robot with stereotactic technology and nano-therapy technology treats thoracic and abdominal tumours, the interference caused by the precise positioning of the tumour by the breathing motion of the human body cannot be ignored. In order to compensate for the breathing movement and improve the treatment accuracy of the nano-level radiotherapy robot, the main method adopted is the real-time breathing tracking technology, that is, by establishing the correlation model between the tumour in the body and the marker points on the body surface, the movement of the marker points is used to predict the position of the tumour, thereby adjusting the beam of the robotic arm for precise radiotherapy. Aiming at the problem of tumour respiratory motion tracking modelling, a three-dimensional tumour respiratory motion simulator was designed. This simulator can stably simulate the nonlinear and time-lag motion relationship between tumour and markers, and is the tumour breathing of nano-level radiotherapy robots. The motion tracking model provides a data source and verification platform.

Online publication date: Tue, 13-Apr-2021

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Nanotechnology (IJNT):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com