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An Efficient and Robust Method for Automatically Identifying the Left Ventricular Boundary in Cine Magnetic Resonance Images
Wang ZZ(王振洲)
作者部门机器人学研究室
关键词Deformation Flow Left Ventricle Magnetic Resonance Imaging Optical Flow Segmentation
发表期刊IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
ISSN1545-5955
2016
卷号13期号:2页码:536-542
收录类别SCI ; EI
EI收录号20150900590248
WOS记录号WOS:000374442300014
产权排序1
摘要Efficient and robust identification of the left ventricular borders remains a challenging problem in cardiology. In this paper, we proposed an automatic method to segment the left ventricles and then identify their borders robustly. The proposed method is named as "ABDC" because it utilizes the strengths of four techniques: Automatic threshold selection; Boundary extraction, Deformation flow tracking, and Convex shape modeling. We compared the proposed method with the PDE optical flow method on 1660 images which are obtained from ten complete short-axis cine MRI datasets (five normal subjects and five patients). As it turned out, the proposed method is more efficient and robust than the benchmark in segmenting LV borders. Note to Practitioners-The proposed method is implemented in a user friendly interface software and can be easily used to identify the boundary of the ventricle automatically by practitioners. The boundary of the left ventricle in the first frame of the slice is identified automatically by level set method and then it could be improved if necessary by the practitioner to guarantee accurate input boundary. Then, the rest of the frames are segmented by the proposed method automatically. The automatically identified boundary can be further improved by the practitioners manually and interactively after all the borders are identified.
语种英语
WOS标题词Science & Technology ; Technology
WOS类目Automation & Control Systems
关键词[WOS]MR-IMAGES ; SEGMENTATION ; PROPAGATION
WOS研究方向Automation & Control Systems
引用统计
被引频次:7[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/18663
专题机器人学研究室
通讯作者Wang ZZ(王振洲)
作者单位State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang City, China
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GB/T 7714
Wang ZZ. An Efficient and Robust Method for Automatically Identifying the Left Ventricular Boundary in Cine Magnetic Resonance Images[J]. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING,2016,13(2):536-542.
APA Wang ZZ.(2016).An Efficient and Robust Method for Automatically Identifying the Left Ventricular Boundary in Cine Magnetic Resonance Images.IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING,13(2),536-542.
MLA Wang ZZ."An Efficient and Robust Method for Automatically Identifying the Left Ventricular Boundary in Cine Magnetic Resonance Images".IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING 13.2(2016):536-542.
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