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KMID : 1137820100310060464
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의공학회지
2010 Volume.31 No. 6 p.464 ~ p.471
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Reconstruction of Magnetic Resonance Phase Images using the Compressed Sensing Technique
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Lee Jung-Eun
Cho Min-Hyoung
Lee Soo-Yeol
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Abstract
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Compressed sensing can be used to reduce scan time or to enhance spatial resolution in MRI. It is now recognized that compressed sensing works well in reconstructing magnitude images if the sampling mask and the sparsifying transform are well chosen. Phase images also play important roles in MRI particularly in chemical shift imaging and magnetic resonance electrical impedance tomography (MREIT). We reconstruct MRI phase images using the compressed sensing technique. Through computer simulation and real MRI experiments, we reconstructed phase images using the compressed sensing technique and we compared them with the ones reconstructed by conventional Fourier reconstruction technique. As compared to conventional Fourier reconstruction with the same number of phase encoding steps, compressed sensing shows better performance in terms of mean squared phase error and edge preservation. We expect compressed sensing can be used to reduce the scan time or to enhance spatial resolution of MREIT.
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KEYWORD
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compressed sensing, L1-minimization, phase imaging, MRI, MREIT
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