Automated detection of fetal cardiac structure from first-trimester ultrasound sequences

Yinhui Deng, Yuanyuan Wang, Ping-Han Chen
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引用次数: 18

Abstract

The structure detection of the first-trimester fetal heart is important for the diagnosis of fetuses, which is difficult due to the small size of the first-trimester fetal heart and the low signal-to-noise ratio of the ultrasound imaging. In the paper, a novel method is proposed for the automated detection of the fetal cardiac structure from first-trimester ultrasound images. First the region of interest for the fetal heart is automatically selected based on the established motion summation image. Then a despeckle method is proposed to simultaneously suppress the speckle noise according to its statistical property and emphasize the motion information which is important for the next detection. Finally an active appearance model is designed for the fetal heart and accomplishes the structure detection. Experiments on 258 ultrasound images verify the effectivity of our proposed method.
自动检测胎儿心脏结构从早期妊娠超声序列
早期妊娠胎儿心脏的结构检测对胎儿的诊断很重要,但由于早期妊娠胎儿心脏体积小,超声成像的信噪比低,给胎儿的诊断带来了困难。本文提出了一种从妊娠早期超声图像中自动检测胎儿心脏结构的新方法。首先,根据所建立的运动和图像自动选择胎儿心脏感兴趣的区域。然后提出了一种去斑方法,利用散斑噪声的统计特性,在抑制散斑噪声的同时,突出运动信息,为下一步检测提供重要信息。最后设计了胎心的活动外观模型,并完成了胎心的结构检测。258张超声图像的实验验证了该方法的有效性。
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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