
CONTROLLING THE DISTANCE BETWEEN A MEDICAL ULTRASOUND ROBOT AND AN OBJECT
Nodirbek Ruziyev , Doctoral student of Andijan Mechanical Engineering InstituteAbstract
The main reason for the use of robotic ultrasound is to increase the accuracy and consistency of ultrasound examination. By removing the human factor in the inspection process, robotic systems can perform ultrasounds with a level of accuracy that is difficult to achieve manually. This leads to more accurate diagnoses and treatment plans for patients. This article presents the research and development trends of the ultrasonic medical robot.
Keywords
robot systems, ultrasound diagnostic device, intelligent medical robot, control algorithm, control software
References
Current applications of robot-assisted ultrasound examination. Edgar m. Hidalgo bs a, leah wright phd b, mats isaksson phd a, gavin lambert phd ac, thomas h. Marwick mbbs, phd, mph bvolume 16, issue 2, February 2023, pages 239-247
A novel ultrasound robot with force/torque measurement and control for safe and efficient scanning,xianqiang bao,10.1109/tim.2023.3239925
Burke, M., Lu, K., Angelov, D., Straizys, A., Innes, C., Subr, K., Ramamoorthy,
S., 2020. Learning robotic ultrasound scanning using probabilistic temporal ranking. arXiv preprint arXiv:2002.01240 .
Merouche, S., Allard, L., Montagnon, E., Soulez, G., Bigras, P., Cloutier, G., 2015. A robotic ultrasound scanner for automatic vessel tracking and three-dimensional reconstruction of b-mode images. IEEE transactions on ultrasonics, ferroelectrics, and frequency control 63, 35–46.
Chan, V.; Perlas, A. Basics of ultrasound imaging. In Atlas of Ultrasound-Guided Procedures in Interventional Pain Management; Narouze, S.N., Ed.; Springer: New York, NY, USA, 2011; pp. 13–19. ISBN 978-1-4939-7752-9. [Google Scholar]
Harrison, G.; Harris, A. Work-related musculoskeletal disorders in ultrasound: Can you reduce risk? Ultrasound 2015, 23, 224–230. [Google Scholar] [CrossRef]
Barr, R.G.; Zhang, Z. Effects of precompression on elasticity imaging of the breast: Development of a clinically useful semiquantitative method of precompression assessment. J. Ultrasound Med. 2012, 31, 895–902. [Google Scholar] [CrossRef] [PubMed]
Tan, J.; Li, Y.; Li, B.; Leng, Y.; Peng, J.; Wu, J.; Luo, B.; Chen, X.; Rong, Y.; Fu, C. Automatic Generation of Autonomous Ultrasound Scanning Trajectory Based on 3-D Point Cloud. IEEE Trans. Med. Robot. 2022, 4, 976–990. [Google Scholar] [CrossRef]
Holzgrefe, R.E.; Wagner, E.R.; Singer, A.D.; Daly, C.A. Imaging of the peripheral nerve: Concepts and future direction of magnetic resonance neurography and ultrasound. J. Hand. Surg. Am. 2019, 44, 1066–1079. [Google Scholar] [CrossRef]
Priester, A.M.; Natarajan, S.; Culjat, M.O. Robotic ultrasound systems in medicine. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 2013, 60, 507–523. [Google Scholar] [CrossRef] [PubMed]
Huang, Q.; Lan, J. Remote control of a robotic prosthesis arm with six-degree-of-freedom for ultrasonic scanning and three-dimensional imaging. Biomed. Signal Process. Control 2019, 54, 101606. [Google Scholar] [CrossRef]
Sartori, E.; Tadiello, C.; Secchi, C.; Muradore, R. Tele-echography using a two-layer teleoperation algorithm with energy scaling. In Proceedings of the 2019 International Conference on Robotics and Automation (ICRA), Montreal, QC, Canada, 20–24 May 2019; pp. 1569–1575. [Google Scholar]
Salcudean, S.E.; Moradi, H.; Black, D.G.; Navab, N. Robot-assisted medical imaging: A review. Proc. IEEE Inst. Electr. Electron. Eng. 2022, 110, 951–967. [Google Scholar] [CrossRef]
Jiang, Z.; Grimm, M.; Zhou, M.; Hu, Y.; Esteban, J.; Navab, N. Automatic force-based probe positioning for precise robotic ultrasound acquisition. IEEE Trans. Ind. Electron. 2021, 68, 11200–11211. [Google Scholar] [CrossRef]
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