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Ultrasound Image Analysis for Normal Pregnancy and Ectopic Pregnancy

机译:正常妊娠和异位妊娠的超声图像分析

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Ectopic pregnancy is a complicated state of pregnancy where the embryo engaged outside from the uterus. With infrequent exceptions, the fetus will fail to survive. Detection of ectopic pregnancy usually accomplished by ultrasound and human chorionic gonadotropin (hCG) test in blood. Over two decades, ultrasound imaging exhibits very high safety records. Analyzing ultrasound images is a vital problem for all image processing systems. Also, the ultrasound image consists of a significant amount of noise, such as speckle noise. Moreover, the existence of this noise makes problems in image analysis. Our focus is to eliminate the detection problem by applying some image processing methods. The method includes image filtering, segmentation, and morphological operations. The results show that by the combination of thresholding and morphological operation with the region of interest method, the border of the gestational sac, sagittal ring, and the area of the uterus can be detected. As a result, ectopic pregnancy can be easily distinguished.
机译:异位妊娠是一种复杂的妊娠状态,胚胎从子宫向外接合。除少数例外,胎儿将无法存活。通常通过超声和​​血液中人绒毛膜促性腺激素(hCG)检测来检测异位妊娠。在过去的二十多年中,超声成像显示出非常高的安全记录。对于所有图像处理系统而言,分析超声图像都是至关重要的问题。而且,超声图像包括大量的噪声,例如斑点噪声。而且,这种噪声的存在在图像分析中产生了问题。我们的重点是通过应用某些图像处理方法来消除检测问题。该方法包括图像过滤,分割和形态学运算。结果表明,将阈值和形态学运算与感兴趣区域方法相结合,可以检测出妊娠囊的边界,矢状环和子宫的区域。结果,可以容易地区分异位妊娠。

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