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On mimicking human’s manipulation for robot-assisted spine ultrasound imaging

Qinghua Huang (School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an, China)
Yingchen Wang (School of Computer Science, Northwestern Polytechnical University, Xi'an, China)
Hao Luo (School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an, China)
Jianyi Li (School of Basic Medical Sciences, Southern Medical University, Guangzhou, China)

Robotic Intelligence and Automation

ISSN: 2754-6969

Article publication date: 8 August 2023

Issue publication date: 21 August 2023

254

Abstract

Purpose

This paper aims to develop a new robotic ultrasound system for spine imaging with more anthropomorphic scanning manipulation in comparison with previously reported techniques.

Design/methodology/approach

The system evaluates the imaging quality of ultrasound (US) B-scans by detecting vertebral landmarks and groups the images with relatively low quality into several sub-optimal types. By imitating the scanning skills of sonographers, the authors defined a set of adjustment strategies for certain sub-optimal types. In this way, the robot can recollect the US images with high quality by adaptively adjusting the pose of the probe like a sonographer.

Findings

The results from phantom experiments and in vivo experiments showed that the proposed method could improve the quality of B-scans during the scanning. The 3 D US volume reconstruction has also verified the feasibility of the proposed method.

Originality/value

This paper demonstrates how to adapt a robotic spinal ultrasound scanning using a preliminary anthropomorphic approach.

Keywords

Acknowledgements

This work was partially supported by the National Natural Science Foundation of China under grant 6207138, and the Innovation Capability Support Program of Shaanxi under grant 2021TD-57.

Citation

Huang, Q., Wang, Y., Luo, H. and Li, J. (2023), "On mimicking human’s manipulation for robot-assisted spine ultrasound imaging", Robotic Intelligence and Automation, Vol. 43 No. 4, pp. 373-381. https://doi.org/10.1108/RIA-02-2023-0012

Publisher

:

Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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