Compressed Sensing for Chemical Shift-Based Water-Fat Separation
Compressed Sensing for Chemical Shift-Based Water-Fat Separation
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DOI：
10.1002/mrm.22563
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发表时间：
2010-12-01
影响因子：
3.3
通讯作者：
Lustig, Michael
中科院分区：
文献类型：
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作者：
Doneva, Mariya;Boernert, Peter;Lustig, Michael
基于多回波化学位移的水-脂肪分离方法允许在存在主场不均匀性的情况下进行均匀的脂肪抑制。然而，这些方法需要额外的扫描时间用于化学位移编码。本文提出了一种基于压缩感知和化学位移的水脂分离方法。在k空间和化学位移编码维度中应用欠采样以减少总扫描时间。该方法可以从欠采样数据重建高质量的水和脂肪图像的2D和3D应用。作为扩展，多峰脂肪光谱模型被纳入CS-WF重建，以提高水脂分离质量。在3D MRI中，可以实现上述三个缩减因子，从而充分补偿三回波水脂成像所需的额外时间。该方法在膝关节和腹部的体内数据上得到证实。Magn Reson Med 64：1749-1759，2010. (C)2010 Wiley-Liss，Inc.
Multi echo chemical shift-based water-fat separation methods allow for uniform fat suppression in the presence of main field inhomogeneities. However, these methods require additional scan time for chemical shift encoding. This work presents a method for water-fat separation from undersampled data (CS-WF), which combines compressed sensing and chemical shift-based water-fat separation. Undersampling was applied in the k-space and in the chemical shift encoding dimension to reduce the total scanning time. The method can reconstruct high quality water and fat images in 2D and 3D applications from undersampled data. As an extension, multipeak fat spectral models were incorporated into the CS-WF reconstruction to improve the water-fat separation quality. In 3D MRI, reduction factors of above three can be achieved, thus fully compensating the additional time needed in three-echo water-fat imaging. The method is demonstrated on knee and abdominal in vivo data. Magn Reson Med 64:1749-1759, 2010. (C) 2010 Wiley-Liss, Inc.