波谱学杂志2016，Vol.33Issue(4)：539-548,10.DOI:10.11938/cjmr20160403
多通道相位图像的改进型自适应重建算法
Improved Adaptive Reconstruction of Multi-Channel Phase Images
吴鹏 1郭华1
作者信息
- 1. 清华大学医学院生物医学工程系，生物医学影像研究中心，北京 100084
- 折叠
摘要
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 andin 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 highSNR.关键词
磁共振成像(MRI)/自适应重建(AR)算法/移除相位偏移/相位图像重建/尖端伪影Key words
MRI/adaptive reconstruction (AR)/phase offsets removal/phase reconstruction/cusp artifact分类
数理科学引用本文复制引用
吴鹏,郭华..多通道相位图像的改进型自适应重建算法[J].波谱学杂志,2016,33(4):539-548,10.
