首页 | 本学科首页   官方微博 | 高级检索  
     

基于小波分析的功能磁共振图像的去噪预处理
引用本文:曾卫明,罗立民,梁晓云,王世杰,郭圣文. 基于小波分析的功能磁共振图像的去噪预处理[J]. 应用科学学报, 2004, 22(1): 118-123
作者姓名:曾卫明  罗立民  梁晓云  王世杰  郭圣文
作者单位:1. 东南大学,生物医学工程系,江苏,南京,210096;江西财经大学,信息管理学院,江西,南昌,330013
2. 东南大学,生物医学工程系,江苏,南京,210096
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:小波分析 功能磁共振图像 门限函数 相关性噪声 图像去噪 图像预处理
文章编号:0255-8297(2004)01-0118-06

The Pre-processing of De-noising in fMRI Data Based on Wavelet Analysis
ZENG Wei-ming. The Pre-processing of De-noising in fMRI Data Based on Wavelet Analysis[J]. Journal of Applied Sciences, 2004, 22(1): 118-123
Authors:ZENG Wei-ming
Affiliation:ZENG Wei-ming~
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.
Keywords:functional magnetic resonance imaging  denoising  wavelet analysis  thresholding function  correlated noise
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号