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Motion Tracking of the Carotid Artery Wall from Ultrasound Image Sequences: a Nonlinear State-space Approach
文献类型：期刊论文
| 作者 | Zhifan Gao; Yanjie Li; Yuanyuan Sun; Jiayuan Yang; Huahua Xiong; Heye Zhang; Xin Liu; Wanqing Wu; Dong Liang; Shuo Li |
| 刊名 | IEEE Transactions on Medical Imaging
 |
| 出版日期 | 2017 |
| 文献子类 | 期刊论文 |
| 英文摘要 | The motion of the common carotid artery (CCA) wall has been established to be useful in early diagnosis of atherosclerotic disease. However, tracking the CCA wall motion from ultrasound images remains a challenging task. In this study, a nonlinear state-space approach has been developed to track CCA wall motion from ultrasound sequences. In this approach, a nonlinear state-space equation with a time-variant control signal was constructed from a mathematical model of the dynamics of the CCA wall. Then, the unscented Kalman filter (UKF) was adopted to solve the nonlinear state transfer function in order to evolve the state of the target tissue, which involves estimation of the motion trajectory of the CCA wall from noisy ultrasound images. The performance of this approach has been validated on 30 simulated ultrasound sequences and a real ultrasound dataset of 103 subjects by comparing the motion tracking results obtained in this study to those of three state-of-the-art methods and of the manual tracing method performed by two experienced ultrasound physicians. The experimental results demonstrated that the proposed approach is highly correlated with (intra-class correlation coefficient ⩾0.9948 for the longitudinal motion and ⩾0.9966 for the radial motion) and well agrees (the 95% confidence interval width is 0.8871 mm for the longitudinal motion and 0.4159 mm for the radial motion) with the manual tracing method on real data and also exhibits high accuracy on simulated data (0.1161 ~ 0.1260 mm). These results appear to demonstrate the effectiveness of the proposed approach for motion tracking of the CCA wall. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| WOS记录号 | WOS:000419346900025 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/12624]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | IEEE Transactions on Medical Imaging |
| 推荐引用方式 GB/T 7714 | Zhifan Gao,Yanjie Li,Yuanyuan Sun,et al. Motion Tracking of the Carotid Artery Wall from Ultrasound Image Sequences: a Nonlinear State-space Approach[J]. IEEE Transactions on Medical Imaging,2017. |
| APA | Zhifan Gao.,Yanjie Li.,Yuanyuan Sun.,Jiayuan Yang.,Huahua Xiong.,...&Shuo Li.(2017).Motion Tracking of the Carotid Artery Wall from Ultrasound Image Sequences: a Nonlinear State-space Approach.IEEE Transactions on Medical Imaging. |
| MLA | Zhifan Gao,et al."Motion Tracking of the Carotid Artery Wall from Ultrasound Image Sequences: a Nonlinear State-space Approach".IEEE Transactions on Medical Imaging (2017). |
入库方式： OAI收割
来源：深圳先进技术研究院
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