自适应正则化超分辨率磁共振图像重建  

Adaptive regularized super-resolution reconstruction for magnetic resonance images

作　　者：彭洁[1] 徐启飞[2] 冯衍秋[1] 吕庆文[1] 陈武凡[1] 

机构地区：[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

出　　处：《南方医科大学学报》2011年第10期1705-1708,共4页Journal of Southern Medical University

基　　金：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。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 of the image with a high frequency.The experiment results proved that the proposed algorithm was superior to other counterparts in achieving the reconstruction of low-resolution MR images.

关 键 词：磁共振成像 自适应正则化 超分辨率重建 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]