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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
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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.
出处 《西安电子科技大学学报》 EI CAS CSCD 北大核心 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)
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 3 DWT ROI three-dimensional zerotree EZW medical image compression
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