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应用科学学报 ›› 2004, Vol. 22 ›› Issue (1): 118-123.

• 论文 • 上一篇    下一篇

基于小波分析的功能磁共振图像的去噪预处理

曾卫明1,2, 罗立民1, 梁晓云1, 王世杰1, 郭圣文1   

  1. 1 东南大学生物医学工程系 江苏南京 210096;
    2 江西财经大学信息管理学院 江西南昌 330013
  • 收稿日期:2002-11-06 出版日期:2004-03-31 发布日期:2004-03-31
  • 作者简介:曾卫明(1971-),男,安徽宿松人,硕士;罗立民(1956-),男,江西瑞昌人,教授,博导.

The Pre-processing of De-noising in fMRI Data Based on Wavelet Analysis

ZENG Wei-ming1,2, LUO Li-min1, LIAN GXiao-yun1, WANG Shi-jie1, GUO Sheng-wen1   

  1. 1. Department of Biomedical Engineering, Southeast University, Nanjing 210096, China;
    2. School of Information Technology, Jiangxi University of Finance & Economics, Nanchang 330013, China
  • Received:2002-11-06 Online:2004-03-31 Published:2004-03-31

PDF

70

被引次数

23

摘要： 对基于小波分析的fMRI去噪作了较具体的论述,并在Donoho和Johnstone的Hard函数及Soft函数基础上提出了更合适的Hard-Soft函数.从结果分析看,Hard-Soft函数比Soft函数在保留图像细节上占优,而去噪性能比Hard函数要好.因而能够在图像去噪和保护信息上达到更好的均衡,克服了Hard函数和Soft函数的两个极端状况.

关键词: 去噪, 门限函数, 功能磁共振成像, 小波分析, 相关性噪声

Abstract: Image denoising in fMRI based on a wavelet analysis is discussed. A more suitable Hard-Soft function, which is derived from the Hard function and the Soft function (both developed by Donoho and Johnstone) is presented. According to the analysis of the results, the Hard-Soft function is superior to the Soft function in preserving image details and superior to the Hard function in removing image noise. Thus, better balance can be achieved between the image details preserved and the noise removed and the two extreme states held by the Hard function and the Soft function can be overcome.

Key words: denoising, wavelet analysis, thresholding function, correlated noise, functional magnetic resonance imaging

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