Robust and automatic diagnosis of the intraventricular mechanical dyssynchrony for the left ventricle in cardiac magnetic resonance images

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 机器人学研究室

	Robust and automatic diagnosis of the intraventricular mechanical dyssynchrony for the left ventricle in cardiac magnetic resonance images
	Wang ZZ(王振洲)
刊名	INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
	2017
卷号	12 期号:9 页码:1471-1480
关键词	Left ventricular dyssynchrony Auto-diagnosis Image processing Cross-correlation Fourier shape filter
ISSN号	1861-6410
通讯作者	Wang ZZ(王振洲)
产权排序	1
中文摘要	Robust and automatic diagnosis of the mechanical dyssynchrony for the left ventricle is essential for the cardiac resynchronization therapy. However, no existing method could meet the desired accuracy yet. In this paper, a new approach is proposed for auto-diagnosis of the intraventricular mechanical dyssynchrony of the left ventricle based on a series of image processing and signal processing techniques. Firstly, the boundary of the left ventricle is identified automatically by the segmentation method. Secondly, the correspondence trajectories are computed based on the tangent field to make sure that they are perpendicular to all the intercepted boundaries. Thirdly, the intercepted points are smoothed by the proposed Fourier shape filter to eliminate noise and increase the diagnosis accuracy. Fourthly, the mechanical dyssynchrony is defined as the lag times between the periodic change of the sampled boundary points and the periodic change of the area of the left ventricle. It is calculated by cross-correlation. The segmentation method is trained with 10 cases, the proposed approach is evaluated with other 40 tested cases (20 normal cases and 20 patient cases), and the diagnosis accuracy is 100%. Experimental results showed that the proposed approach can accurately diagnose whether the left ventricle has mechanical dyssynchrony or not from the computed lag times. The proposed approach is robust in auto-diagnosis of the mechanical dyssynchrony for the left ventricle in cardiac magnetic resonance images.
WOS标题词	Science & Technology ; Technology ; Life Sciences & Biomedicine
类目[WOS]	Engineering, Biomedical ; Radiology, Nuclear Medicine & Medical Imaging ; Surgery
研究领域[WOS]	Engineering ; Radiology, Nuclear Medicine & Medical Imaging ; Surgery
关键词[WOS]	RESYNCHRONIZATION THERAPY ; HEART ; ECHOCARDIOGRAPHY ; SEGMENTATION ; PREDICTORS ; SYNCHRONY ; TIME ; MRI
收录类别	SCI
语种	英语
WOS记录号	WOS:000408411000001
内容类型	期刊论文
源URL	[http://ir.sia.cn/handle/173321/20872]
专题	沈阳自动化研究所_机器人学研究室
作者单位	State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, People's Republic of China.
推荐引用方式 GB/T 7714	Wang ZZ. Robust and automatic diagnosis of the intraventricular mechanical dyssynchrony for the left ventricle in cardiac magnetic resonance images[J]. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY,2017,12(9):1471-1480.
APA	Wang ZZ.(2017).Robust and automatic diagnosis of the intraventricular mechanical dyssynchrony for the left ventricle in cardiac magnetic resonance images.INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY,12(9),1471-1480.
MLA	Wang ZZ."Robust and automatic diagnosis of the intraventricular mechanical dyssynchrony for the left ventricle in cardiac magnetic resonance images".INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY 12.9(2017):1471-1480.