title: Pseudo 2D random sampling for compressed sensing MRI.
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.
authors: Department of Electrical Engineering and Computer Science, University of Wisconsin, Milwaukee, WI 53201, USA. haifeng@uwm.edu
authors: Haifeng
authors: H
authors: Wang
authors: Dong
authors: D
authors: Liang
authors: Leslie
authors: L
authors: Ying
mesh_terms: D000465:Algorithms; D001698:Biomedical Engineering / Q000379:methods*; D003198:Computer Simulation; D044962:Data Compression / Q000379:methods*; D003952:Diagnostic Imaging / Q000379:methods; D004867:Equipment Design; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods*; D015233:Models, Statistical; D011336:Probability