Automatic heart localization in ultrasound fetal images

M. L. Siqueira, P. Navaux
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Abstract

This paper presents the research developed in order to detect the cardiac structure in echocardiography gray images from the fetal heart. It is based on patten recognition and use a density probability function with the scales of gray. The function is also used for search of the similar cardiac structure, where it is applied on the whole image, and then compared with the pattern of structure in which one interested. In order to obtain the similarity that defines the choice of the structure of interest we use the Bhattacharyya coefficient. The method uses texture features to isolate the region of interest inside the ultrasound image to improve the results and performance. A prototype was developed to evaluate the proposed method. The results of the experiments are also presented in this paper.
超声胎儿图像中的自动心脏定位
本文介绍了在超声心动图灰度图像中检测胎儿心脏结构的研究进展。该方法基于模式识别,采用灰度尺度的密度概率函数。该函数还用于搜索相似的心脏结构,将其应用于整个图像,然后与感兴趣的结构模式进行比较。为了获得定义兴趣结构选择的相似性,我们使用了Bhattacharyya系数。该方法利用纹理特征来隔离超声图像内部感兴趣的区域,以提高结果和性能。开发了一个原型来评估所提出的方法。最后给出了实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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