Applying Color Doppler Image based Virtual Surgery in Placenta Previa Cesarean Section

IF 0.6 4区计算机科学 Q4 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Journal of Imaging Science and Technology Pub Date : 2020-07-01 DOI:10.2352/J.IMAGINGSCI.TECHNOL.2020.64.4.040410

Guanghui Zhang, X. Feng

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引用次数: 2

Abstract

Abstract Objective: To study the application of image processing technology in cesarean section of placenta previa, thereby reducing the occurrence of high-risk pregnancy. Methods: First, the method of gray image enhancement is analyzed. This method enhances the gray difference between the target and the background, highlights useful information, summarizes the source and type of noise, and proposes common filtering and noise reduction methods to suppress the noise. For edge detection, pixel-level edge detection operators and sub-pixel-level edge detection operators are summarized. The Canny edge detection operator and the Gaussian fitting sub-pixel edge detection operator are introduced in detail, and innovative improvements are carried out for resolving the deficiencies of the algorithm. Results: The improved adaptive iterative segmentation thresholding method results in a threshold of T = 98 and 11 iterations. The image segmentation quality of the improved Otsu method has been greatly enhanced. After the second segmentation, the improved Otsu method finds the optimal threshold T = 76. Conclusion: Color Doppler ultrasound image processing technology has excellent application in placenta previa cesarean section.

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基于彩色多普勒图像的虚拟手术在前置胎盘剖宫产术中的应用

摘要目的:研究图像处理技术在前置胎盘剖宫产术中的应用，从而减少高危妊娠的发生。方法:首先分析了灰度图像增强的方法。该方法增强了目标与背景的灰度差，突出了有用信息，总结了噪声的来源和类型，提出了常用的滤波和降噪方法来抑制噪声。对于边缘检测，总结了像素级边缘检测算子和亚像素级边缘检测算子。详细介绍了Canny边缘检测算子和高斯拟合亚像素边缘检测算子，并针对算法的不足进行了创新性改进。结果:改进的自适应迭代分割阈值法得到的阈值为T = 98，迭代次数为11次。改进后的Otsu方法大大提高了图像分割的质量。经过第二次分割，改进的Otsu方法找到最优阈值T = 76。结论:彩色多普勒超声图像处理技术在前置胎盘剖宫产术中具有良好的应用价值。

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来源期刊

Journal of Imaging Science and Technology 工程技术-成像科学与照相技术

CiteScore

2.00

自引率

10.00%

发文量

审稿时长

>12 weeks

期刊介绍： Typical issues include research papers and/or comprehensive reviews from a variety of topical areas. In the spirit of fostering constructive scientific dialog, the Journal accepts Letters to the Editor commenting on previously published articles. Periodically the Journal features a Special Section containing a group of related— usually invited—papers introduced by a Guest Editor. Imaging research topics that have coverage in JIST include: Digital fabrication and biofabrication; Digital printing technologies; 3D imaging: capture, display, and print; Augmented and virtual reality systems; Mobile imaging; Computational and digital photography; Machine vision and learning; Data visualization and analysis; Image and video quality evaluation; Color image science; Image archiving, permanence, and security; Imaging applications including astronomy, medicine, sports, and autonomous vehicles.