Pseudo 2D random sampling for compressed sensing MRI

Haifeng Wang; Dong Liang; Leslie Ying

doi:10.1109/IEMBS.2009.5334086

Pseudo 2D random sampling for compressed sensing MRI

Annu Int Conf IEEE Eng Med Biol Soc. 2009:2009:2672-5. doi: 10.1109/IEMBS.2009.5334086.

Authors

Haifeng Wang¹, Dong Liang, Leslie Ying

Affiliation

¹ Department of Electrical Engineering and Computer Science, University of Wisconsin, Milwaukee, WI 53201, USA. haifeng@uwm.edu

PMID: 19964588
DOI: 10.1109/IEMBS.2009.5334086

Abstract

The paper presents a novel approach of pseudo 2D random sampling scheme for application of compressed sensing in Cartesian magnetic resonance imaging (MRI). The proposed scheme is realized by a pulse sequence program which switches the directions of phase encoding and frequency encoding during data acquisition such that both k(x) and k(y) directions can be undersampled randomly. The resulting random sampling pattern approximates the ideal but impractical 2D patterns. Both the simulation and experiment results show the proposed method is superior to the existing 1D random sampling and similar to the ideal 2D random sampling in terms of the reconstruction quality. This method can potentially improve the MR imaging speed through the application of compressed sensing in conventional MRI.

Publication types

Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

Algorithms
Biomedical Engineering / methods*
Computer Simulation
Data Compression / methods*
Diagnostic Imaging / methods
Equipment Design
Humans
Image Processing, Computer-Assisted / methods
Magnetic Resonance Imaging / methods*
Models, Statistical
Probability