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Follicle detection in ultrasound images of ovaries using active contours method

机译:主动轮廓法检测卵巢超声图像中的卵泡

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Knowledge about the status of the female reproductive system is important for fertility problems and age related family planning. The volume of these fertility requests in our emancipated society is steadily increasing. Transvaginal ultrasound imaging of the follicles in the ovary gives important information about the ovarian aging, i.e., number of follicles, size, position and response to hormonal stimulation. Manual analysis of many follicles is laborious and error-prone. In this paper, a new method for recognition of follicles in ultrasound images of ovaries is proposed. This fully automated segmentation method is based on active contours without edge method. The proposed technique is tested on ultrasonographic images of ovaries. The experimental results are compared with inferences drawn by medical expert and demonstrate the efficacy of the method.
机译:对女性生殖系统状况的了解对于生育问题和与年龄有关的计划生育很重要。在我们解放的社会中,这些生育要求的数量正在稳步增长。卵巢中卵泡的经阴道超声成像可提供有关卵巢衰老的重要信息,即卵泡数,大小,位置和对激素刺激的反应。手动分析许多卵泡既费力又容易出错。本文提出了一种在卵巢超声图像中识别卵泡的新方法。这种全自动的分割方法是基于主动轮廓而没有边缘的方法。在卵巢的超声图像上对提出的技术进行了测试。实验结果与医学专家的推论进行了比较,证明了该方法的有效性。

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