Improved Adaptive Reconstruction of Multi-Channel Phase Images

doi:10.11938/cjmr20160403

Abstract

Abstract: Adaptive reconstruction (AR) has been widely used to combine multi-channel MRI images. AR can estimate coil sensitivity through signal and noise correlation matrices between different channels, and therefore achieve optimized signal-to-noise ratio (SNR) for the reconstructed images. However, AR is usually not optimized for phase images, which may lead to uncertainties when used to reconstruct phase images. In addition, the reconstructed phase images may contain artifacts when there are coil-dependent phase offsets and noise-corrupted phase images. In this study, an improved adaptive reconstruction (iAR) method was developed, which can eliminate coil-dependent phase offsets, and rearrange multi-channel data after a data quality judgment. Phantom and in vivo experiments demonstrated that the proposed method had improved robustness over the original AR method, and it can eliminate the artifacts contained in the reconstructed phase images while maintaining high SNR.

Key words: MRI, phase reconstruction, adaptive reconstruction(AR), cusp artifact, phase offsets removal

CLC Number:

O482.53

WU Peng, GUO Hua. Improved Adaptive Reconstruction of Multi-Channel Phase Images[J]. Chinese Journal of Magnetic Resonance, 2016, 33(4): 539-548.

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