Automatic Angle of Trunk Rotation Detection Using 3D Sensor Imaging in Scoliosis Assessment

Jie Yang1; Ziqi Zhao1; Xiao Xiao2; Jiankun Wang1; Max Q.-H. Meng3

10.1109/ROBIO55434.2022.10011964

2022

2022 IEEE International Conference on Robotics and Biomimetics

978-1-6654-8110-6

2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)

172-177

5-9 Dec. 2022

Jinghong, China

Early detection of adolescent idiopathic scoliosis (AIS) is essential for AIS treatment and prevention of AIS progression. However, the existing clinical scoliosis assessment method, the standing full-column radiographs (X-ray) imaging, is radioactive, making this method unsuitable for large-scale promotion among adolescents. As a result, many countries have implemented school scoliosis screening programs (SSS) to achieve large-scale scoliosis screening and monitoring of adolescents by measuring the angle of trunk rotation (ATR). However, the SSS is time-consuming and inaccurate due to subjective manual examination. In this paper, we present an automatic method to calculate ATR based on the contour curve of the human back. This automatic method begins with a 3D depth sensor-scanned point cloud model of the human back and identifies the spinous process and stress points by obtaining the back contour curve from the depth information. Finally, the ATR is calculated according to the measurement principle of scoliosis meter. We demonstrate the effectiveness of our method using twenty-seven pairs of ATR data from nine participants with AFBT. There is not only a significant positive correlation, but also a convinced level of agreement between ATRs obtained using automatic method and ATRs obtained using manual method in the SSS. The experiment results reveal that the proposed method can efficiently achieve accurate measurement of ATR in the SSS.

Solid Modeling Three-dimensional Displays Atmospheric Measurements Scoliosis Manuals Robot Sensing Systems Particle Measurements

第一 ; 通讯

英语

EI

IEEE

正式出版

1.Department of Electronic and Electrical Engineering, Shenzhen Key Laboratory of Robotics Perception and Intelligence, Southern University of Science and Technology, Shenzhen, China
2.The Yuanhua Robotics, Perception & AI Technologies Ltd., Shenzhen, China
3.Department of Electronic and Electrical Engineering, Southern University of Science and Technology in Shenzhen China, on leave from the Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China

Jie Yang,Ziqi Zhao,Xiao Xiao,et al. Automatic Angle of Trunk Rotation Detection Using 3D Sensor Imaging in Scoliosis Assessment[C],2022:172-177.