Open Access
ARTICLE
A Method for Ultrasound Servo Tracking of Puncture Needle
1 School of Artificial Intelligence, Guangzhou Huashang College, Guangzhou, 511300, China
2 School of Automation, University of Electronic Science and Technology of China, Chengdu, 610054, China
3 Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, Via Ponzio 34/5, Milan, 20133, Italy
4 Department of Modelling, Simulation, and Visualization Engineering, Old Dominion University, Norfolk, VA 23529, USA
5 Graduate School of Engineering, ESIGELEC, Av. Galilée, St Etienne du Rouvray, 76801, France
6 Department of Computer Science and Engineering, Hanyang University, Ansan, 15577, Republic of Korea
* Corresponding Authors: Bo Yang. Email: ; Jiawei Tian. Email:
(This article belongs to the Special Issue: Emerging Artificial Intelligence Technologies and Applications)
Computer Modeling in Engineering & Sciences 2025, 144(2), 2287-2306. https://doi.org/10.32604/cmes.2025.066195
Received 01 April 2025; Accepted 19 June 2025; Issue published 31 August 2025
Abstract
Computer-aided surgical navigation technology helps and guides doctors to complete the operation smoothly, which simulates the whole surgical environment with computer technology, and then visualizes the whole operation link in three dimensions. At present, common image-guided surgical techniques such as computed tomography (CT) and X-ray imaging (X-ray) will cause radiation damage to the human body during the imaging process. To address this, we propose a novel Extended Kalman filter-based model that tracks the puncture needle-point using an ultrasound probe. To address the limitations of Kalman filtering methods based on position and velocity, our method of Kalman filtering uses the position and relative velocity of the puncture needle-point instead, and the ultrasonic probe is controlled by a Proportional Integral (PI) controller in X-axis direction and Proportional Derivative (PD) controller in the Y-axis direction. The motion of the ultrasonic probe can be servo-controlled by whether the image information of the puncture needle-point can be detected by the ultrasonic image so that the ultrasonic probe can track the puncture needle-point in real time. The experiment results show that this method has better tracking performance.Keywords
Cite This Article
Copyright © 2025 The Author(s). Published by Tech Science Press.This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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