南方医科大学学报2011，Vol.31Issue(10)：1705-1708,4.DOI:44-1627/R.20111004.1155.010
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
摘要
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 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Key words
magnetic resonance imaging/ adaptive regularization/ super-resolution reconstruction分类
信息技术与安全科学引用本文复制引用
彭洁,徐启飞,冯衍秋,吕庆文,陈武凡..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):1705-1708,4.基金项目
国家973重点基础研究发展规划(2003CB716102) （2003CB716102）
国家自然科学基金重点项目(30730036) （30730036）
