计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (20): 207-209.DOI: 10.3778/j.issn.1002-8331.2010.20.056

• 人工智能 • 上一篇    下一篇

应用ROF模型的医学超声图像去噪方法

马家辰，李建刚，孙明健   

  1. 哈尔滨工业大学（威海） 信息科学与工程学院，山东 威海 264209
  • 收稿日期:2010-04-15 修回日期:2010-05-17 出版日期:2010-07-11 发布日期:2010-07-11
  • 通讯作者: 马家辰

De-noising method for medical ultrasonic image using ROF model

MA Jia-chen，LI Jian-gang，SUN Ming-jian   

  1. School of Information Science and Engineering，Harbin Institute of Technology at Weihai，Weihai，Shandong 264209，China
  • Received:2010-04-15 Revised:2010-05-17 Online:2010-07-11 Published:2010-07-11
  • Contact: MA Jia-chen

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摘要： 由于超声成像机制使医学超声图像中存在着大量的斑点噪声，这些斑点噪声大大降低了图像的清晰度和质量，给超声诊断带来很大的困难。针对医学超声图像的斑点噪声去噪问题，提出了一种基于帧相关处理、ROF分解和自适应小波阈值的去噪方法，能够在抑制超声图像斑点噪声的同时，尽可能地保留甚至增强图像的细节信息，大大提高图像质量，取得了很好的效果。

关键词: 斑点噪声, 帧相关, 全局相位相干性, ROF模型, 自适应小波阈值

Abstract: There are always lots of speckle noises in medical ultrasonic images because of the imaging mechanism.These speckle noises significantly reduce the clarity of the image and as a result，cause great difficulties in ultrasound diagnosis.To solve this problem，this paper presents a new de-noising method for medical ultrasonic image based on ROF model and adaptive wavelet threshold de-noising method.In addition to inhibiting the speckle noises in the medical ultrasonic image，this method can retain and even enhance the image detail information as much as possible.

Key words: speckle noise, frame correlation, Global Phase Coherence（GPC）, ROF model, adaptive wavelet threshold

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