基于三维零树结构的感兴趣区医学图像内嵌编码算法  

Embedded coding of medical images with regions of interest based on the three-dimensional zerotree

作　　者：马静[1] 吴成柯[1] 陈东[1] 周有喜[1] 

机构地区：[1]西安电子科技大学综合业务网理论与关键技术国家重点实验室,陕西西安710071

出　　处：《西安电子科技大学学报》2006年第2期182-185,230,共5页Journal of Xidian University

基　　金：国家自然科学基金资助项目(60272050)

摘　　要：为了使医学图像压缩更适合于医学诊断,利用医学图像为多帧图像序列的特点,选用三维小波对图像进行变换,并将二维零树结构扩展到三维零树.同时,提出一种简单有效的三维零树感兴趣区模板建立方法,在三维内嵌编码方法中运用感兴趣区域编码.该算法有效地控制了感兴趣区与背景区的图像质量,从而在不影响医疗诊断的基础上提高了系统的压缩比.In order to images that a sequence images compression is satisfy the need of diagnoses, based on the characteristic of medical of frames are formed in one body inspection, a new strategy for medical proposed . The three-dimension wavelet is adopted and the planar zerotree is extended to the three-dimensional zerotree. By making use of the three-dimensional zerotree structure, a simple method for ROI mask generation is put forward. Medical images are compressed by three-dimensional embedded coding with the compression of regions of interest. Simulation results have shown that it can efficiendy improve the compression ratio without affecting the diagnoses.

关 键 词：三维小波变换 ROI编码 三维零树 内嵌编码 医疗图像编码 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]