...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Medical image analysis >Robust estimation of carotid artery wall motion using the elasticity-based state-space approach
【24h】

Robust estimation of carotid artery wall motion using the elasticity-based state-space approach

机译：基于弹性的状态空间方法的颈动脉壁运动的鲁棒估计

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The dynamics of the carotid artery wall has been recognized as a valuable indicator to evaluate the status of atherosclerotic disease in the preclinical stage. However, it is still a challenge to accurately measure this dynamics from ultrasound images. This paper aims at developing an elasticity-based state-space approach for accurately measuring the two-dimensional motion of the carotid artery wall from the ultrasound imaging sequences. In our approach, we have employed a linear elasticity model of the carotid artery wall, and converted it into the state space equation. Then, the two-dimensional motion of carotid artery wall is computed by solving this state-space approach using the filter and the block matching method. In addition, a parameter training strategy is proposed in this study for dealing with the parameter initialization problem. In our experiment, we have also developed an evaluation function to measure the tracking accuracy of the motion of the carotid artery wall by considering the influence of the sizes of the two blocks (acquired by our approach and the manual tracing) containing the same carotid wall tissue and their overlapping degree. Then, we have compared the performance of our approach with the manual traced results drawn by three medical physicians on 37 healthy subjects and 103 unhealthy subjects. The results have showed that our approach was highly correlated (Pearson's correlation coefficient equals 0.9897 for the radial motion and 0.9536 for the longitudinal motion), and agreed well (width the 95% confidence interval is 89.62 pm for the radial motion and 387.26 pm for the longitudinal motion) with the manual tracing method. We also compared our approach to the three kinds of previous methods, including conventional block matching methods, Kalman-based block matching methods and the optical flow. Altogether, we have been able to successfully demonstrate the efficacy of our elasticity-model based state-space approach (EBS) for more accurate tracking of the 2-dimensional motion of the carotid artery wall, towards more effective assessment of the status of atherosclerotic disease in the preclinical stage. (C) 2017 Elsevier B.V. All rights reserved.
机译：颈动脉壁的动态被认为是评估临床前期动脉粥样硬化疾病状态的有价值的指标。但是，从超声图像准确测量这种动态仍然是一项挑战。本文旨在开发基于弹性的状态空间方法，用于精确测量来自超声成像序列的颈动脉壁的二维运动。在我们的方法中，我们使用颈动脉壁的线性弹性模型，并将其转换为状态空间方程。然后，通过使用过滤器和块匹配方法解决这种状态空间方法来计算颈动脉壁的二维运动。此外，在该研究中提出了参数培训策略，以处理参数初始化问题。在我们的实验中，我们还开发了一种评估功能，通过考虑两个块（通过我们的方法和手动追踪）的尺寸的影响来测量颈动脉壁的运动的跟踪准确性（通过我们的方法和手动追踪）的影响组织及其重叠程度。然后，我们对我们的方法进行了比较了我们的方法，并在37个健康的科目和103个不健康的科目上由三名医学医生绘制的手动追踪结果。结果表明，我们的方法是高度相关的（Pearson的相关系数等于0.9897的径向运动和0.9536的纵向运动），并同意井（宽度95％置信区间为径向运动为89.62 PM，为387.26PM纵向运动）通过手动跟踪方法。我们还将我们的方法与三种以前的方法进行了比较，包括传统的块匹配方法，基于卡尔曼的块匹配方法和光流。完全，我们能够成功展示基于弹性模型的状态空间方法（EBS）的效果，以便更准确地跟踪颈动脉壁的二维运动，更有效地评估动脉粥样硬化疾病的状态在临床前阶段。 （c）2017 Elsevier B.v.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号