A New Approach for Automatic Identification of the Ventricular Boundary in Cine Magnetic Resonance Images
文献类型：期刊论文
| 作者 | Wang ZZ(王振洲)
|
| 刊名 | JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS
 |
| 出版日期 | 2016 |
| 卷号 | 6期号:5页码:1139-1154 |
| 关键词 | Magnetic Resonance Imaging Left Ventricle Right Ventricle Threshold Selection Optical Flow Deformation Flow |
| ISSN号 | 2156-7018 |
| 产权排序 | 1 |
| 通讯作者 | 王振洲 |
| 中文摘要 | 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. |
| WOS标题词 | Science & Technology ; Life Sciences & Biomedicine |
| 类目[WOS] | Mathematical & Computational Biology ; Radiology, Nuclear Medicine & Medical Imaging |
| 研究领域[WOS] | Mathematical & Computational Biology ; Radiology, Nuclear Medicine & Medical Imaging |
| 关键词[WOS] | CARDIAC MR-IMAGES ; SEGMENTATION ; MODEL ; APPEARANCE ; MOTION ; SHAPE ; PROPAGATION |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000386497000002 |
| 源URL | [http://ir.sia.cn/handle/173321/19416]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：沈阳自动化研究所
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