Multiple-profile homogeneous image combination: application to phase-cycled SSFP and multicoil imaging.
Multiple-profile homogeneous image combination: application to phase-cycled SSFP and multicoil imaging.
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DOI：
10.1002/mrm.21720
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发表时间：
2008-09
影响因子：
3.3
通讯作者：
Nishimura, Dwight G.
中科院分区：
文献类型：
--
作者：
Cukur, Tolga;Lustig, Michael;Nishimura, Dwight G.
MRI中的信号不均匀性通常表现为乘法加权，这是由于各种因素，例如稳态自由旋进（SSFP）成像的场不均匀性依赖性或线圈阵列的接收器灵敏度。这些信号不均匀性可以通过组合具有不同权重的多个数据集来减少。由于其简单性和接近最佳的信噪比（SNR），通常采用平方和组合。然而，这种组合可能导致残留信号不均匀性。或者，如果准确估计各个数据集的权重，则可以执行数据的最佳线性组合。我们提出了一个非线性组合，以提高基于图像的个人权重的估计。信号的均匀性可以显着增加，而不损害SNR。该方法的改进性能被证明为SSFP带状伪影减少和多线圈（相控阵列和并行）图像重建。
Signal inhomogeneities in MRI often appear as multiplicative weightings due to various factors such as field-inhomogeneity dependencies for steady-state free precession (SSFP) imaging or receiver sensitivities for coil arrays. These signal inhomogeneities can be reduced by combining multiple data sets with different weights. A sum-of-squares combination is typically employed due to its simplicity and near-optimal signal-to-noise ratio (SNR). However, this combination may lead to residual signal inhomogeneity. Alternatively, an optimal linear combination of the data can be performed if the weightings for individual data sets are estimated accurately. We propose a non-linear combination to improve image-based estimates of the individual weightings. The signal homogeneity can be significantly increased without compromising SNR. The improved performance of the method is demonstrated for SSFP banding artifact reduction and multi-coil (phased-array and parallel) image reconstructions.
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