The Ill-Posed Problem and Regularization in Parallel Magnetic Resonance Imaging

Author

Liu, XiaoFang ; Xu, Wenlong ; Ye, Xiuzi

Author_Institution

Inf. Technol. Inst., China JiLiang Univ., Hangzhou, China

fYear

2009

fDate

11-13 June 2009

Firstpage

1

Lastpage

4

Abstract

From a linear algebra point of view, the article has studied the ill-posed problems in parallel magnetic resonance imaging (MRI), and posed its influences on the final reconstructed image. Consequently, the article proposed the regularization methods in parallel MRI, and also by g-factor the article has compared the regularized parallel MRI with the conventional reconstruction. In the result, the article has posed that the suitable regularization method is a key technology in parallel MRI reconstruction, and the theory of inverse problems can provide the best idea for resolving the problems in parallel MRI.

Keywords

biomedical MRI; image reconstruction; inverse problems; linear algebra; medical image processing; MRI regularization method; ill-posed problem; image reconstruction; inverse problem theory; linear algebra; parallel magnetic resonance imaging; Coils; Educational institutions; Image reconstruction; Information technology; Integral equations; Inverse problems; Linear algebra; Magnetic analysis; Magnetic resonance imaging; Nuclear magnetic resonance;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-2901-1

Electronic_ISBN

978-1-4244-2902-8

Type

conf

DOI

10.1109/ICBBE.2009.5163622

Filename

5163622