首页 | 本学科首页   官方微博 | 高级检索  
     

自适应正则化超分辨率磁共振图像重建
引用本文:Peng J,Xu QF,Feng YQ,Lv QW,Chen WF. 自适应正则化超分辨率磁共振图像重建[J]. 南方医科大学学报, 2011, 31(10): 1705-1708. DOI: 44-1627/R.20111004.1155.010
作者姓名:Peng J  Xu QF  Feng YQ  Lv QW  Chen WF
作者单位:1. 南方医科大学生物医学工程学院,广东广州,510515
2. 临沂市人民医院放射科,山东临沂,276003
基金项目:国家973重点基础研究发展规划(2003CB716102); 国家自然科学基金重点项目(30730036)~~
摘    要:目的为提高磁共振(MR)图像的分辨率和信噪比,本文提出一种自适应正则化的重建算法,从四幅分别存在亚像素级移动的低分辨MR图像实现超分辨率图像重建;本文提出的新正则化参数使得代价函数在定义域内呈局部凸性,同时在正则化参数中引入图像先验信息,以加强高频细节的恢复。结果表明,新算法能够有效的实现低分辨率MR图像的重建。

关 键 词:磁共振成像  自适应正则化  超分辨率重建

Adaptive regularized super-resolution reconstruction for magnetic resonance images
Peng Jie,Xu Qi-fei,Feng Yan-qiu,Lv Qing-wen,Chen Wu-fan. Adaptive regularized super-resolution reconstruction for magnetic resonance images[J]. Journal of Southern Medical University, 2011, 31(10): 1705-1708. DOI: 44-1627/R.20111004.1155.010
Authors:Peng Jie  Xu Qi-fei  Feng Yan-qiu  Lv Qing-wen  Chen Wu-fan
Affiliation:PENG jie1,XU Qi-fei2,FENG Yan-qiu1,Lü Qing-wen1,CHEN Wu-fan1 1School of Biomedical Engineering,Southern Medical University,Guangzhou 510515,China,2Department of Radiology,Linyi People's Hospital,Linyi 276003
Abstract:Objective To increase the resolution and signal-to-noise ratio(SNR) of magnetic resonance(MR) images,an adaptively regularized super-resolution reconstruction algorithm was proposed and applied to acquire high resolution MR images from 4 subpixel-shifted low resolution images on the same anatomical slice.The new regularization parameter,which allowed the cost function of the new algorithm to be locally convex within the definition region,was introduced by the piori information to enhance detail restoration ...
Keywords:magnetic resonance imaging  adaptive regularization  super-resolution reconstruction  
本文献已被 CNKI 万方数据 PubMed 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号