Application of Tikhonov regularization to super-resolution reconstruction of brain MRI images

被引：0
|
作者：
Zhang, Xin [1 ]
Lam, Edmund Y. [1 ]
Wu, Ed X. [1 ]
Wong, Kenneth K. Y. [1 ]
机构：
[1] Univ Hong Kong, Dept Elect & Elect Engn, Hong Kong, Hong Kong, Peoples R China
来源：
MEDICAL IMAGING AND INFORMATICS | 2008年 / 4987卷
关键词：
super-resolution reconstruction; MRI; Tikhonov regularization;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents an image super-resolution method that enhances spatial resolution of MRI images in the slice-select direction. The algorithm employs Tikhonov regularization, using a standard model of imaging process and reformulating the reconstruction as a regularized minimization task. Our experimental result shows improvements in both signal-to-noise ratio and visual quality.
引用
收藏
页码：51 / 56
页数：6
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