基于三维零树结构的感兴趣区医学图像内嵌编码算法

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.

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

In order to satisfy the need of diagnoses,based on the characteristic of medical images that a sequence of frames are formed in one body inspection,a new strategy for medical images compression is 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 efficiently improve the compression ratio without affecting the diagnoses.