| 产前超声医学图像处理技术综述 |
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| 引用本文： | 李静立,张灵,江少锋,李胜利,汪天富,陈思平. 产前超声医学图像处理技术综述[J]. 北京生物医学工程, 2014, 33(4): 423-429 |
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| 作者姓名： | 李静立 张灵 江少锋 李胜利 汪天富 陈思平 |
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| 作者单位： | 南昌航空大学测试与光电工程学院,江西南昌,330063;深圳大学医学部医学超声关键技术国家地方联合工程实验室,广东深圳,518060;南方医科大学附属深圳市妇幼保健院超声科,广东深圳,518048;南昌航空大学测试与光电工程学院,江西南昌330063;深圳大学医学部医学超声关键技术国家地方联合工程实验室,广东深圳518060 |
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| 基金项目： | 国家自然科学基金重点项目(61031003)资助实验室(项目编号：广东深圳518060) |
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| 摘 要： | 超声诊断是产科临床上应用最广泛的医学成像方式,与之相应的自动医学图像处理是提高诊断准确率与客观性的重要手段.本文首先介绍超声医学图像处理方法的原理及特点,讨论了若干技术及其涉及的算法,包括图像滤波、图像分割及机器学习技术等,浅析了设计可靠的超声医学图像处理方法的要点.其次,以产前超声医学为背景介绍了这些技术的应用,主要包括标准切面自动提取和生物学参数自动测量.最后,讨论了产前超声智能化诊断的发展方向.
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| 关 键 词： | 产科学 医学图像处理 计算机辅助诊断 标准切面提取 生物学参数测量 |
Review of automated medical image analysis in prenatal ultrasound |
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| Affiliation: | LI Jingli , ZHANG Ling , JIANG Shaofeng , LI Shengli, WANG Tianfu , CHEN Siping( 1 College of Tesing and Optoelectronic Engineering, Nanchang Hangkong University, Nanchang, Jiangxi Province 330063 ; 2 National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Shenzhen University Health Science Center, Shenzhen, Guangdong Province 518060; 3 Department of Ultrasound, Shenzhen Maternity and Child Health Care Hospital of Southern Medical University, Shenzhen , Guangdong Province 518048) |
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| Abstract: | Diagnostic ultrasound is the most widely used medical imaging modality of obstetrics. The corresponding medical image analysis techniques are important for the improvement of diagnostic accuracy and objectivity. This paper first introduces the principles and characteristics of methods in ultrasound medical image analysis, and discusses a number of techniques and corresponding algorithms including image filtering, image segmentation and machine learning. The key points of designing reliable methods for ultrasound medical image analysis are provided. Then, the applications of these techniques, including standard plane selection and biometric measurement, are introduced in the background of obstetrics. Finally, the development direction of intelligent diagnosis in prenatal ultrasound is discussed. |
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| Keywords: | obstetrics medical image processing computer aided diagnosis standard plane selection biometric measurement |
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