广西科技大学学报Issue(3)：31-35,5.DOI:10.16375/j.cnki.cn45-1395/t.2015.03.006
基于压缩感知的肝脏CT/PET医学图像融合研究
The study of liver CT/PET medical image fusion based on compressed sensing
摘要
Abstract
According to the medical diagnosis and real-time transmission demand, a kind of research on medical image fusion algorithm based on compressed sensing is put forward. The algorithm uses the fusion method based on compressed sensing and uses the random Gauss matrix to measure the high frequency sub bands respectively which are obtained by non-subsampled contourlet transform. Then it uses the orthogonal matching pursuit method to reconstruct the high frequency subband coefficients, and finally uses the inverse transform of NSCT to get the fusion image of the high frequency part and the low frequency part. Through the simulation experiment on CT and PET in liver medical images, the algorithm can increase the complementary information of multimodality medical image, and improve the clarity of the medical image fusion. The fusion evaluation indexes show that this algorithm can improve the calculation efficiency effectively while ensuring the fusion quality, and is good to meet the needs of real-time transmission applications in medical diagnosis.关键词
医学图像/非下采样轮廓波变换/压缩感知/图像融合Key words
medical image/non-subsampled contourlet transform/compressive sensing/image fusion分类
医药卫生引用本文复制引用
陶佳伟,李春贵..基于压缩感知的肝脏CT/PET医学图像融合研究[J].广西科技大学学报,2015,(3):31-35,5.基金项目
国家自然科学基金项目（61302178）资助 （）
