测试技术学报2012，Vol.26Issue(2)：98-104,7.DOI:10.3969/j.issn.1671-7449.2012.02.002
基于各向异性扩散滤波与非局部先验的PET图像重建算法
PET Image Reconstruction Algorithm Based on Anisotropic Diffusion Filtering and Nonlocal Prior
摘要
Abstract
Aiming at the problem of not effectively suppressing noise and preserving edge in normal penalized least'squares algorithm and the improved algorithm based on local prior during reconstructing positron emission tomography image, a new penalized least squares reconstruction algorithm incorporating nonlocal prior and anisotropic diffusion filtering was proposed. Firstly, the image was estimated by least squares algorithm with nonlocal prior. Then, this estimated image was filtered by anisotropic diffusion filter with bidirectional diffusion coefficient. The new algorithm synthesized the advantages of nonlocal prior and anisotropic diffusion filtering. The experimental results show that the proposed algorithm achieves a good balance between reducing noise and keeping edge. The quality of reconstruction image is significantly improved.关键词
正电子发射断层成像/惩罚最小二乘法/非局部惩罚项/各向异性扩散滤波/图像重建Key words
positron emission tomography/ penalized least squares/ nonlocal penalty term/ anisotropic diffusion filtering/ image reconstruction分类
信息技术与安全科学引用本文复制引用
张权,刘祎,马杰..基于各向异性扩散滤波与非局部先验的PET图像重建算法[J].测试技术学报,2012,26(2):98-104,7.基金项目
山西省自然科学基金重点项目(2009011020-2) （2009011020-2）
