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A New Approach for Automatic Identification of the 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Magnetic Resonance Imaging Left Ventricle Right Ventricle Threshold Selection Optical Flow Deformation Flow
发表期刊JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS
ISSN2156-7018
2016
卷号6期号:5页码:1139-1154
收录类别SCI
WOS记录号WOS:000386497000002
产权排序1
摘要Identification of the endocardial borders remains challenging in cardiology. In this paper, we propose a new approach named 'deformation flow tracking' which couples the obtained boundary from the previous frame and the extracted edges in the current frame by energy minimization. Firstly, the edges are extracted accurately by an effective threshold selection method. Then, the boundary in the previous frame is driven toward the extracted edges to form a deformation boundary by minimizing the energy between the deformation boundary and extracted edge while keeping the deformation boundary smooth. Deformation thresholds are defined and used to constrain the motions of the boundary points and eliminate outliers effectively. The proposed approach was tested on complete short-axis cine MRI datasets from 5 normal subjects and 5 patients with heart failure (total of 1660 images) randomly chosen from a much larger dataset (100 cases). As it turned out, the proposed approach is efficient and robust for automatic identification of the ventricular endocardial boundary that moves directionally and regularly, which is true in most cases.
语种英语
WOS标题词Science & Technology ; Life Sciences & Biomedicine
WOS类目Mathematical & Computational Biology ; Radiology, Nuclear Medicine & Medical Imaging
关键词[WOS]CARDIAC MR-IMAGES ; SEGMENTATION ; MODEL ; APPEARANCE ; MOTION ; SHAPE ; PROPAGATION
WOS研究方向Mathematical & Computational Biology ; Radiology, Nuclear Medicine & Medical Imaging
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文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/19416
专题机器人学研究室
通讯作者Wang ZZ(王振洲)
作者单位Shenyang Institute of Automation, Chinese Academy of Sciences, China
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GB/T 7714
Wang ZZ. A New Approach for Automatic Identification of the Ventricular Boundary in Cine Magnetic Resonance Images[J]. JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS,2016,6(5):1139-1154.
APA Wang ZZ.(2016).A New Approach for Automatic Identification of the Ventricular Boundary in Cine Magnetic Resonance Images.JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS,6(5),1139-1154.
MLA Wang ZZ."A New Approach for Automatic Identification of the Ventricular Boundary in Cine Magnetic Resonance Images".JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS 6.5(2016):1139-1154.
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