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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 15 Issue 8, 2024.
Abstract: Ablation represents a minimally invasive option for liver cancer treatment, commonly guided by imaging techniques such as ultrasound. Recently, there has been a surge in interest in semi-automated or fully automated robotic image acquisition. Specifically, there is a continuing interest in automating medical ultrasound image acquisition due to ultrasound being widely used, having a lower cost, and being more portable than other imaging modalities. This study explores automated robot-assisted ultrasound imaging for liver ablation procedures. The study proposed utilizing a collaborative robot arm from Universal Robots (UR), which has gained popularity across various medical applications. A robotic real-time force control system was designed and demonstrated to regulate the contact force exerted by the robot on the surface of a torso phantom, ensuring optimal contact during ultrasound imaging. The Robot Operating System (ROS) and the UR Real-Time Data Exchange (UR-RTDE) interface were employed to control the robot. The findings indicate that the contact force can be maintained around a set desired value of 9N. However, deviations occur due to residual forces from acceleration when the probe is not in contact with the phantom. These results provide a foundation for further advancements in the automation of ultrasound scanning.
Ungku Muhammad Zuhairi Ungku Zakaria, Seri Mastura Mustaza, Mohd Hairi Mohd Zaman and Ashrani Aizzuddin Abd Rahni, “Real-Time Robotic Force Control for Automation of Ultrasound Scanning” International Journal of Advanced Computer Science and Applications(IJACSA), 15(8), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0150879
@article{Zakaria2024,
title = {Real-Time Robotic Force Control for Automation of Ultrasound Scanning},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0150879},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0150879},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {8},
author = {Ungku Muhammad Zuhairi Ungku Zakaria and Seri Mastura Mustaza and Mohd Hairi Mohd Zaman and Ashrani Aizzuddin Abd Rahni}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.