基于小波分析的功能磁共振图像的去噪预处理  

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

作　　者：曾卫明[1] 罗立民[1] 梁晓云[1] 王世杰[1] 郭圣文[1] 

机构地区：[1]东南大学生物医学工程系

出　　处：《应用科学学报》2004年第1期118-123,共6页Journal of Applied Sciences

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.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.

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 

分 类 号：R445.2[医药卫生—影像医学与核医学] TN911.73[医药卫生—诊断学]