首页> 外文会议>2010 6th International Colloquium on Signal Processing and Its Applications >Myocardial motion analysis using optical flow and wavelet decomposition
【24h】

Myocardial motion analysis using optical flow and wavelet decomposition

机译:使用光流和小波分解的心肌运动分析

获取原文

摘要

The abnormalities of myocardial can be predicted quantitatively by analysing visualization of motion estimation in all or part of myocardial segment. To visualize the heart motion on myocardial, ultrasound image is evaluated globally using a differential optical flow technique that recursively applied a set of multi scale ultrasound image. A set of multi scale images is generated using approximation channel of Haar wavelet decomposition. The method was validated and evaluated on the real ultrasound image sequences that were collected from several health and unhealthy volunteers based on the American Heart Association standardization. The method was also compared to other methods using the same of ultrasound images. The result using our proposed algorithm is more accurate than the other methods. The results of myocardial motion estimation are shown in needle view of motion field in all myocardial segments and according to the expert echocardiographic analyzing.
机译:通过分析整个或部分心肌节段中运动估计的可视化,可以定量预测心肌异常。为了可视化心肌上的心脏运动,使用递归应用一组多尺度超声图像的差分光流技术对超声图像进行全局评估。使用Haar小波分解的近似通道可生成一组多尺度图像。该方法已根据美国心脏协会的标准化,从几名健康和不健康的志愿者那里收集到的真实超声图像序列进行了验证和评估。还将该方法与使用相同超声图像的其他方法进行了比较。使用我们提出的算法的结果比其他方法更准确。根据专家超声心动图分析,在所有心肌节段的运动场的针状视图中显示了心肌运动估计的结果。

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