Title :
Pseudo 2D random sampling for compressed sensing MRI
Author :
Wang, Haifeng ; Liang, Dong ; Ying, Leslie
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Wisconsin, Milwaukee, WI, USA
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 kx and ky 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.
Keywords :
biomedical MRI; data acquisition; image coding; image reconstruction; image sampling; medical image processing; 2D patterns; Cartesian magnetic resonance imaging; compressed sensing MRI; data acquisition; frequency encoding; phase encoding; pseudo 2D random sampling; pulse sequence program; Algorithms; Biomedical Engineering; Computer Simulation; Data Compression; Diagnostic Imaging; Equipment Design; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Models, Statistical; Probability;
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2009.5334086