中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Carotid Artery Wall Motion Estimated from Ultrasound Imaging Sequences Using a Nonlinear State Space Approach

文献类型:会议论文

作者Zhifan Gao; Yuanyuan Sun; Heye Zhang; Dhanjoo Ghista; Yanjie Li; Huahua Xiong; Xin Liu; Yaoqin Xie; WanqingWu; and Shuo Li
出版日期2016
会议名称International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
会议地点希腊
英文摘要It is very challenge to investigate the motion of the carotid artery wall in ultrasound images, because of the high nonlinear dynamics of this motion. In our study, the nonlinear dynamics of carotid artery wall motion is first approximated by our nonlinear state-space approach driven by a mathematical model of the mechanical deformation of carotid artery wall. Then, the two-dimensional motion of carotid artery wall is computed by solving the nonlinear state-space approach using the unscented Kalman filter. We have then evaluated the performance of our approach by comparing it with the manual tracing method (the correlation coefficient equals 0.9897 for the radial motion and 0.9703 for the longitudinal motion) and three other state-of-the-art methods for 73 subjects. The results indicate the reliable applicability of our approach in tracking the motion of the carotid artery wall and its potential usefulness in routine clinical diagnosis.
收录类别EI
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/10552]  
专题深圳先进技术研究院_医工所
作者单位2016
推荐引用方式
GB/T 7714
Zhifan Gao,Yuanyuan Sun,Heye Zhang,et al. Carotid Artery Wall Motion Estimated from Ultrasound Imaging Sequences Using a Nonlinear State Space Approach[C]. 见:International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 希腊.

入库方式: OAI收割

来源:深圳先进技术研究院

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