经食管超声心动图中左心室心内膜边界的匹配滤波器识别。

Matched filter identification of left-ventricular endocardial borders in transesophageal echocardiograms.

机构信息

Center for Bioengng., Washington Univ., Seattle, WA.

出版信息

IEEE Trans Med Imaging. 1990;9(4):396-404. doi: 10.1109/42.61755.

Abstract

The use of one-dimensional spatial matched filtering for identifying the left ventricular endocardial borders in human transesophageal echocardiograms recorded during surgery is investigated. A maximum-likelihood method was used to choose the endocardial intensity profiles centered within the ventricle. The computer-generated border points were compared to those identified by an experienced ultrasonographer. A 16-pixel step template located 63.2% of the border points within 2 mm of the manual border. Median prefiltering of the images reduced detection accuracy by 3% to 6%. No statistically significant difference in accuracy was found between longer and shorter templates or between data-derived and step templates. Compared to manual estimates, computer generated cross-sectional area determinations were correlated with a coefficient of 0.93. Matched filtering executes rapidly, does not require prefiltering, and performs as well as other reported methods in estimating ventricular area.

摘要

研究了在手术期间记录的人体经食管超声心动图中使用一维空间匹配滤波来识别左心室心内膜边界。使用最大似然法选择位于心室中心的心内膜强度轮廓。计算机生成的边界点与经验丰富的超声医师识别的边界点进行了比较。位于边界点 63.2%处的 16 像素步长模板与手动边界的距离在 2 毫米以内。图像的预滤波使检测精度降低了 3%至 6%。在较长和较短的模板之间，或者在数据派生的模板和步长模板之间，没有发现准确性有统计学上的显著差异。与手动估计相比，计算机生成的横截面积测定与系数 0.93 相关。匹配滤波执行速度快，不需要预滤波，并且在估计心室面积方面与其他报道的方法一样好。