中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Adaptive Localized Region and Edge based Active Contour Model using Shape Constraint and Sub-Global Information for Uterine Fibroid Segmentation in Ultrasound-Guided HIFU Therapy

文献类型:期刊论文

作者Xiangyun Liao; Zhiyong Yuan; Qianqian Tong; Jianhui Zhao; Qiong Wang
刊名IET Image Processing.
出版日期2017
文献子类期刊论文
英文摘要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 paper, we propose a novel adaptive localized 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. We first define adaptive local radius for the localized region based model and combine it with the edge based model to accurately and efficiently capture image’s heterogeneous features and edge features. Then, we incorporate a shape constraint to reduce boundary leakage or excessive contraction to obtain more accurate segmentation. To overcome the initialization sensitivity, we introduce the sub-global information to prevent the curve from trapping into the local minima and obtain robust results. Furthermore, we optimize 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.
URL标识查看原文
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/11601]  
专题深圳先进技术研究院_集成所
作者单位IET Image Processing.
推荐引用方式
GB/T 7714
Xiangyun Liao,Zhiyong Yuan,Qianqian Tong,et al. Adaptive Localized Region and Edge based Active Contour Model using Shape Constraint and Sub-Global Information for Uterine Fibroid Segmentation in Ultrasound-Guided HIFU Therapy[J]. IET Image Processing.,2017.
APA Xiangyun Liao,Zhiyong Yuan,Qianqian Tong,Jianhui Zhao,&Qiong Wang.(2017).Adaptive Localized Region and Edge based Active Contour Model using Shape Constraint and Sub-Global Information for Uterine Fibroid Segmentation in Ultrasound-Guided HIFU Therapy.IET Image Processing..
MLA Xiangyun Liao,et al."Adaptive Localized Region and Edge based Active Contour Model using Shape Constraint and Sub-Global Information for Uterine Fibroid Segmentation in Ultrasound-Guided HIFU Therapy".IET Image Processing. (2017).

入库方式: OAI收割

来源:深圳先进技术研究院

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。