Title :
Toeplitz random encoding MR imaging using compressed sensing
Author :
Liang, Dong ; Xu, Guangwu ; Wang, Haifeng ; King, Kevin F. ; Xu, Dan ; Ying, Leslie
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Wisconsin-Milwaukee, Milwaukee, WI, USA
fDate :
June 28 2009-July 1 2009
Abstract :
Compressed Sensing (CS), as a new framework for data acquisition and signal recovery, has been applied to accelerate conventional magnetic resonance imaging (MRI) with Fourier encoding. However, Fourier encoding is not universal and weakly spreads out the energy of most natural images. This limits the achievable reduction factors. In this paper, we propose a Toeplitz random encoding method that is universal and spreads out the image energy more evenly. The MR physical feasibility of the proposed encoding method is verified by Bloch simulation, and the superior performance of the proposed method is demonstrated in simulation results.
Keywords :
Toeplitz matrices; biomedical MRI; encoding; medical image processing; Bloch simulation; Fourier encoding; MR imaging; Toeplitz random encoding; compressed sensing; data acquisition; magnetic resonance imaging; signal recovery; Compressed sensing; Data acquisition; Encoding; Fourier transforms; Image coding; Image reconstruction; Image sampling; Magnetic resonance imaging; Medical services; Sampling methods; Compressed Sensing; Fourier encoding; Toeplitz random encoding; magnetic resonance imaging;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-3931-7
Electronic_ISBN :
1945-7928
DOI :
10.1109/ISBI.2009.5193036