摘要
目的研究一种有效的MRI序列图像压缩方法。方法以2组不同数量、不同层厚的MRI序列图像为例,针对3D SPIHT算法运算复杂度,在对D型、L型表项重复判断的不足上,提出了一种改进的3DSPIHT方法;同时,根据MRI序列图像的相关性特点,提出了分组编/解码的方法,结合3D小波变换和应用改进的3D SPIHT方法,实现了MRI序列图像压缩。结果分组结合改进3D SPIHT方法与2DSPIHT,3D SPIHT相比,能够得到较好重构图像,同时,峰值信噪比(PSNR)提高了1～8 dB左右。结论在相同码率下,分组结合改进3D SPIHT的方法提高了PSNR和图像恢复质量,可以更好地解决大量MRI序列图像存储与传输问题。
Objective To propose an effective MRI sequence image compression method for solving the storage and transmission problem of large amounts of MRI sequence images. Methods Aimed at alleviating the com plexity of computation of 3D Set Partitioning in Hierarchical Trees（SPIHT） algorithm and the deficiency that D or L type table were judged repeatedly, an improved 3D SPIHT method was presented and two groups of MRI sequence images with different numbers and slice thickness were taken as examples. At the same time, ac- cording to the correlation characteristics of MRI sequence images, a method that images were divided into groups and then coded/decoded was put forward in this paper. It combined with 3D wavelet transform and the improved 3 D SPIHT method, the MRI sequence image compression was achieved. Results Comparing with the 2D SPIHT and 3D SPIHT methods, the grouping combined with the improved 3D SPIHT method could obtain better reconstructed images and Peak Signal Noise Ratio （PSNR） could be improved by 1 -8 dB as well. Conclusion At the same bit rate, PSNR and image quality of recovery can be improved by the grouping com bined with the improved 3D SPIHT method and the storage and transmission problem of large amounts of MRI sequence images can be solved.
出处
《航天医学与医学工程》
CAS
CSCD
北大核心
2013年第2期120-124,共5页
Space Medicine & Medical Engineering
基金
国家863项目(2011AA040406)
广西自然科学基金项目(2011jjA40078)
