作　　者： ; ; ;

机构地区： 陕西理工大学物理与电信工程学院物理系

出　　处： 《陕西理工学院学报（自然科学版）》 2009年第4期41-46,共6页

摘　　要： 为了进一步提高光声重建图像的质量,利用小波变换的多维多分辨率特性对光声图像进行消噪,将小波包的分解和重构理论与统计差值相结合对光声图像的细节部分进行增强。由仿真和实验结果表明,重建图像经过小波降噪和图像增强后,其对比度相对滤波反投影算法的光声像得到了明显的提高,其分辨率由0.55 mm提高到0.48 mm,该算法将为病变组织的正确诊断与治疗提供了更高的精度和准确度。 In order to improve the quality of reconstructed photoacoustic image, a method of wavelet transformation was applied to process photoacoustic image. Multidimensions multiresolution analysis property of wavelet was used to denoise in the image,wavelet packets decomposition and reconstruction and statistic difference algorithm was used to enhance the image. The simulations and experiments demonstrated that the contrast of reconstructed image was greatly improved and resolution improved from 0.55mm to 0.48mm after wavelet denoise and image enhancement compared with the filtered back projection algorithm （FBPA）, the algorithm could improve the precision and accuracy of diagnosis and theraov of disease tissue.

关 键 词： 光声成像 小波变换 降噪 图像增强

领　　域： [生物学]