NDLI: Tumour localisation in ultrasound-guided high-intensity focused ultrasound ablation using improved gradient and direction vector flow

Content Provider	IET Digital Library
Author	Le, Yi Xu, Xianze Zha, Li Zhao, Wencheng Zhu, Yanyan
Abstract	As one of the key technologies in ultrasound (US)-guided high-intensity focused ultrasound (HIFU) ablation systems, a precise and automatic US image segmentation method for tumour localisation can contribute to ablation of the diseased tissues and avoiding unwanted destruction of the healthy tissues. Owing to the speckle noise and the irregular shapes of target tumours in US images, traditional image segmentation methods are not suitable for tumour localisation. In this study, the authors proposed an improved gradient and direction vector flow (G&DVF) model to segment US images for tumour localisation. The conventional G&DVF model was improved in three aspects to obtain a better segmentation for tumour localisation. The straight lines were changed into fold lines to increase their flexibility in guiding the active contour. Several weighting parameters were added to the energy functional to control the influences of these different lines. Moreover, a novel vector field was defined to reduce the computational complexity and save the computation time. With these three aspects improved, the improved G&DVF model was applied in US image segmentation for tumour localisation. The experimental results demonstrate that this proposed model is reliable, accurate and time saving in US image segmentation for tumour localisation.
Starting Page	857
Ending Page	865
Page Count	9
ISSN	17519659
Volume Number	9
e-ISSN	17519667
Issue Number	Issue 10, Oct (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/9/10
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2014.0439
Journal	IET Image Processing
Publisher Date	2015-10-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Biology And Medical Computing Biomedical Ultrasonics Computational Complexity Computer Vision And Image Processing Technique Diseased Tissues Diseases G&DVF Model Gradient Method Gradient-direction Vector Flow Model Healthy Tissues HIFU Ablation System Image Denoising Image Segmentation Interpolation And Function Approximation Medical Image Processing Numerical Analysis Numerical Approximation And Analysis Optical, Image And Video Signal Processing Patient Diagnostic Method And Instrumentation Sonic And Ultrasonic Application Sonic And Ultrasonic Radiation Speckle Speckle Noise Tumour Localisation Tumours Ultrasonic Imaging Ultrasound-guided High-intensity Focused Ultrasound Ablation System US Image Segmentation Method Vector Field
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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