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Comparison of the existing tool localisation methods on two-dimensional ultrasound images and their tracking results

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Erratum: Comparison of the existing tool localisation methods on two-dimensional ultrasound images and their tracking results

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The Journal of Engineering

Comparison of the existing tool localisation methods on two-dimensional ultrasound images and their tracking results

Content Provider	IET Digital Library
Author	Zhao, Yue Liebgott, Hervé Cachard, Christian
Abstract	Over the last decade, different micro-tool navigation and localisation algorithms have been developed. They can be divided into three groups: the eigen-decomposition methods such as principal component analysis (PCA), the transform methods such as Hough transform (HT) and the space random iteration methods such as the random sample consensus (RANSAC) algorithm. To suppress the speckle noise of the ultrasound image, different noise suppression methods are also proposed. In this article, different combinations of preprocessing methods and localisation methods are compared. A tracking system is also developed to adapt these localisation methods to a dynamic situation. So far, the line-filter method has achieved the best contrast ratio, and the threshold method requires the shortest time. These two preprocessing methods are proposed in the localisation algorithm and the tracking system. Simulations and experiments were conducted to verify the combinations of the localisation and tracking results. In static localisation, the line-filter+RANSAC method achieves the highest localisation accuracy. In the dynamic situation, the PCA method achieves the highest tracking accuracy. In the real-time evaluation, the calculation time of the RANSAC algorithm is the shortest. To satisfy the demand for localisation accuracy and calculation time, the line-filter+RANSAC algorithm is the best choice.
Starting Page	1124
Ending Page	1134
Page Count	11
ISSN	17518644
Volume Number	9
e-ISSN	17518652
Issue Number	Issue 7, Apr (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/9/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2014.0672
Journal	IET Control Theory & Applications
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Biology And Medical Computing Biomedical Ultrasonics Computer Vision And Image Processing Technique Contrast Ratio Eigen Values And Eigen Function Eigen-decomposition Method Filtering Theory Function Theory And Analysis Hough Transform Hough Transforms Image Denoising Image Segmentation Integral Transforms in Numerical Analysis Interpolation And Function Approximation Iterative Method Line-filter Method Medical Image Processing Microtool Navigation Algorithm Numerical Analysis Numerical Approximation And Analysis Optical, Image And Video Signal Processing Patient Diagnostic Method And Instrumentation PCA Principal Component Analysis Probability Theory Random Sample Consensus Algorithm RANSAC Algorithm Sonic And Ultrasonic Application Sonic And Ultrasonic Radiation Space Random Iteration Method Speckle Speckle Noise Suppression Static Localisation Statistics Stochastic Linearised SCUC Threshold Method Tool Localisation Method Tracking System Two-dimensional Ultrasound Image
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

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