NDLI: Adaptive localised region and edge-based active contour model using shape constraint and sub-global information for uterine fibroid segmentation in ultrasound-guided HIFU therapy

Content Provider	IET Digital Library
Author	Liao, Xiangyun Yuan, Zhiyong Tong, Qianqian Zhao, Jianhui Wang, Qiong
Abstract	Uterine fibroids segmentation in ultrasound images is of great importance in the definition of intra-operative planning of ultrasound-guided high-intensity focused ultrasound (HIFU) therapy. However, it is challenging to obtain accurate, robust and efficient uterine fibroid segmentation due to low quality of ultrasound images. In this study, the authors propose a novel adaptive localised region and edge-based active contour model using shape constraint and sub-global information to accurately and efficiently segment the uterine fibroids in ultrasound images with robustness against initial contour. The authors first define adaptive local radius for the localised region-based model and combine it with the edge-based model to accurately and efficiently capture image's heterogeneous features and edge features. Then, they incorporate a shape constraint to reduce boundary leakage or excessive contraction to obtain more accurate segmentation. To overcome the initialisation sensitivity, they introduce the sub-global information to prevent the curve from trapping into the local minima and obtain robust results. Furthermore, the authors optimise computation by adaptively sharing local region and employing the multi-scale segmentation method to achieve efficient segmentation. The proposed method is validated by uterine fibroid ultrasound images in HIFU therapy and the results demonstrate that it can achieve accurate, robust and efficient segmentation.
Starting Page	1142
Ending Page	1151
Page Count	10
ISSN	17519659
Volume Number	11
e-ISSN	17519667
Issue Number	Issue 12, Dec (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/11/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2016.0651
Journal	IET Image Processing
Publisher Date	2017-05-02
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Local Radius Adaptive Localised Region Boundary Leakage Computer Vision And Image Processing Technique Edge Features Edge-based Active Contour Model Image Heterogeneous Feature Image Segmentation Initialisation Sensitivity Intraoperative Planning Localised Region-based Model Medical Image Processing Multiscale Segmentation Method Optical, Image And Video Signal Processing Patient Diagnostic Method And Instrumentation Shape Constraint Sonic And Ultrasonic Application Sonic And Ultrasonic Radiation Subglobal Information Ultrasonic Imaging Ultrasound Image Ultrasound-guided HIFU Therapy Ultrasound-guided High-intensity Focused Ultrasound Therapy Uterine Fibroid Segmentation
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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