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

页码：51 / 56

页数：6

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