MRI image reconstruction via new K-space sampling scheme based on separable transform

Author

Oliaiee, Ashkan ; Ghaffari, Aboozar ; Fatemizadeh, Emad

Author_Institution

Electr. Eng. Dept., Sharif Univ. of Technol., Tehran, Iran

fYear

2013

Firstpage

127

Lastpage

130

Abstract

Reducing the time required for MRI, has taken a lot of attention since its inventions. Compressed sensing (CS) is a relatively new method used a lot to reduce the required time. Usage of ordinary compressed sensing in MRI imaging needs conversion of 2D MRI signal (image) to 1D signal by some techniques. This conversion of the signal from 2D to 1D results in heavy computational burden. In this paper, based on separable transforms, a method is proposed which enables the usage of CS in MRI directly in 2D case. By means of this method, imaging can be done faster and with less computational burden

Keywords

biomedical MRI; compressed sensing; image reconstruction; image sampling; medical image processing; transforms; 1D signal; 2D MRI signal; CS; MRI image reconstruction; compressed sensing; computational burden; k-space sampling scheme; separable transform; Biomedical imaging; Compressed sensing; Image reconstruction; Magnetic resonance imaging; Reconstruction algorithms; Transforms; 2D-Compressed Sensing; 2D-SLO Algorithm; Magnetic Resonance Imaging(MRI); Sparsity; Wavelet Transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Vision and Image Processing (MVIP), 2013 8th Iranian Conference on

Conference_Location

Zanjan

ISSN

2166-6776

Print_ISBN

978-1-4673-6182-8

Type

conf

DOI

10.1109/IranianMVIP.2013.6779963

Filename

6779963