Title: Research on multi-layer perception motion prediction of breathing on thoracic and abdominal surface under non-therapy

Authors: Yanqiao Zhao; Xiaoyang Yu; Haibin Wu; Xiaoming Sun; Yong Zhou

Addresses: School of Measurement and Communication, Harbin University of Science and Technology, Harbin, 150080, China ' School of Measurement and Communication, Harbin University of Science and Technology, Harbin, 150080, China ' School of Measurement and Communication, Harbin University of Science and Technology, Harbin, 150080, China ' School of Measurement and Communication, Harbin University of Science and Technology, Harbin, 150080, China ' The Fourth Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin, 150001, China

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.

Keywords: non-therapy; nanometre radiotherapy robot; real-time tracking; multi-layer sensing motion prediction; abdominal surface.

DOI: 10.1504/IJNT.2021.114234

International Journal of Nanotechnology, 2021 Vol.18 No.1/2/3/4, pp.317 - 328

Received: 08 May 2021
Accepted: 12 May 2021

Published online: 03 Apr 2021 *

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