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题名:
Segmentation of the left ventricle in short-axis sequences by combining deformation flow and optical flow
作者: Wang ZZ(王振洲)
作者部门: 机器人学研究室
通讯作者: 王振洲
刊名: IET Image Processing
ISSN号: 1751-9659
出版日期: 2017
卷号: 11, 期号:4, 页码:237-244
收录类别: SCI ; EI
产权排序: 1
摘要: To help the clinicians to segment the borders of the left ventricle (LV) efficiently during measurement of the heart, the authors come up with a semi-automatic approach in this study that is capable of identifying the endocardial borders robustly from cine magnetic resonance images. Firstly, the deformation flow is computed between the inputted boundary in the previous frame and the extracted edge of the LV in the current frame based on boundary minimum distance principle (BMDP). Then, the deformation flow is constrained by optical flow calculated by a partial differential equation model. A smooth deformation boundary is then formed by minimising the energy between the previously inputted boundary and the rough boundary obtained by BMDP and optical flow constraint. To extract edge of the LV as accurate as possible, a threshold selection method is used and improved based on the previous study. The proposed approach is tested on the open access dataset. The computed average perpendicular distance is 1.36 ± 0.24 mm and the computed Dice measure is 90.7% ± 0.15%. Experimental results show that the proposed approach is significantly more accurate than the referenced state of art methods.
语种: 英语
EI收录号: 20171403525795
WOS记录号: WOS:000398693300004
WOS标题词: Science & Technology ; Technology
类目[WOS]: Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Imaging Science & Photographic Technology
关键词[WOS]: THRESHOLD SELECTION METHOD ; CARDIAC MRI ; CINE MRI ; IMAGES ; MOTION ; MODEL ; APPEARANCE
研究领域[WOS]: Computer Science ; Engineering ; Imaging Science & Photographic Technology
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内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/20294
Appears in Collections:机器人学研究室_期刊论文

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Recommended Citation:
Wang ZZ. Segmentation of the left ventricle in short-axis sequences by combining deformation flow and optical flow[J]. IET Image Processing,2017,11(4):237-244.
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文件名: Segmentation of the left ventricle in short-axis sequences by combining deformation flow and optical flow.pdf
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