Magnetic Resonance Image Reconstruction Using Equation System Solving-Based Singularity Function Analysis

Author

Jianhua Luo ; Yuemin Zhu

Author_Institution

Shanghai Jiaotong Univ., Shanghai

fYear

2007

fDate

22-26 Aug. 2007

Firstpage

751

Lastpage

754

Abstract

This paper presents a method of reconstructing magnetic resonance (MR) images from partial k-space using a so-called singularity function model. To estimate the parameters of the model, we propose a new technique based on equation system solving. The proposed reconstruction method is evaluated on both simulated and real brain MR data. It is also compared with existing techniques. The results show that this new strategy exhibits a great simplicity while offering a good reconstruction quality.

Keywords

biomedical MRI; brain; image reconstruction; medical image processing; brain MR imaging; image quality; magnetic resonance image reconstruction; parameter estimation; partial k-space; solving-based singularity function analysis; Brain modeling; Encoding; Equations; Image analysis; Image reconstruction; Magnetic analysis; Magnetic resonance; Magnetic resonance imaging; Parameter estimation; Reconstruction algorithms; Brain; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Models, Theoretical;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE

Conference_Location

Lyon

ISSN

1557-170X

Print_ISBN

978-1-4244-0787-3

Type

conf

DOI

10.1109/IEMBS.2007.4352399

Filename

4352399