基于小波的医学图像插值  

A WAVELET-BASED INTERPOLATION OF MEDICAL IMAGES

作　　者：黄海赟[1] 戚飞虎[1] 陈剑[1] 姚志洪[2] 

机构地区：[1]上海交通大学计算机科学与工程系,上海200030 [2]上海第二医科大学附属瑞金医院计算中心,上海200025

出　　处：《自动化学报》2002年第5期722-728,共7页Acta Automatica Sinica

基　　金：卫生部 B类研究项目"人工膝关节置换虚拟手术"(98-2 -3 1 5 );国家自然科学基金(60 0 72 0 2 9)资助

摘　　要：现有插值方法在进行医学断层图像插值时 ,不能兼顾灰度和形状的变化 .为解决这一问题 ,文中提出一种基于小波的医学图像插值算法 .通过对原图进行小波变换 ,获得图像边缘对应小波系数的位置信息 ,在断层图像的相应小波系数之间进行强度和位置插值 ,使新的图像不仅在灰度上 ,而且在组织形状上 ,介于原来的断层图像之间 ,满足了医学图像插值的要求 .与线性插值、克立格插值相比 ,新算法的视觉效果好 ,计算误差小 。In the case of medical image interpolation for 3D volume models, present methods lack the capability of interpolating gray levels and shapes at the same time. In order to solve the problem, the paper introduces a wavelet based medical image interpolation algorithm. Firstly, the algorithm decomposes the original images with wavelet analysis and obtains the positions of wavelet coefficients that belong to the edges. Then, the algorithm interpolates intensities and positions of those wavelet coefficients between corresponding wavelet sub images. So that the new image basically satisfies the requirements of medical image interpolation. Compared with linear interpolation and Kriging interpolation, the new algorithm has a good visual effect and the squared error is small. The interpolation can be effectively used to construct 3D volume models.

关 键 词：小波 医学图像 插值 小波 数字图像处理 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]