Ravichandran Lakshminarayan, Wick Carson A, Tridandapani Srini
Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA 30322, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:1562-5. doi: 10.1109/EMBC.2012.6346241.
In order to detect the quasi-stationary states of the heart within a cardiac cycle from echocardiography data, we present an algorithm that uses non-linear filtering and boundary detection. The non-linear filtering algorithm involves anisotropic diffusion to remove the speckle noise from the data and to smoothen the homogeneous regions while preserving the edges. Following this, we perform binary thresholding and boundary detection, and observe the positional changes in the region of interest. From a series of echocardiography images, we derived the regions of cardiac quiescence, which we then plotted on the electrocardiograph (ECG) R-R interval. It is observed that the quiescence occurs in the diastolic region of the ECG signal, but the position and length of quiescence varies across multiple cardiac cycles for the same individual.
为了从超声心动图数据中检测心动周期内心脏的准静态状态，我们提出了一种使用非线性滤波和边界检测的算法。非线性滤波算法包括各向异性扩散，以去除数据中的斑点噪声并平滑均匀区域，同时保留边缘。在此之后，我们进行二值化阈值处理和边界检测，并观察感兴趣区域的位置变化。从一系列超声心动图图像中，我们得出了心脏静止区域，然后将其绘制在心电图（ECG）的R-R间期上。可以观察到，静止状态出现在ECG信号的舒张期，但对于同一个体，静止状态的位置和长度在多个心动周期中会有所不同。
