SNR-optimality of sum-of-squares reconstruction for phased-array magnetic resonance imaging
SNR-optimality of sum-of-squares reconstruction for phased-array magnetic resonance imaging
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DOI：
10.1016/s1090-7807(03)00132-0
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发表时间：
2003-07-01
影响因子：
2.2
通讯作者：
Fitzsimmons, JR
中科院分区：
文献类型：
--
作者：
Larsson, EG;Erdogmus, D;Fitzsimmons, JR
我们考虑线圈灵敏度未知的相控阵磁共振成像常用的“平方和”（SoS）重建方法。我们证明，SoS 生成的图像中的信噪比 (SNR) 渐近（当输入 SNR --> 无穷大时）等于最大比组合的信噪比，这是当线圈灵敏度已知时最好的无偏重建方法。最后，我们讨论这个结果的含义。 (C) 2003 年爱思唯尔科学（美国）。版权所有。
We consider the commonly used "Sum-of-Squares" (SoS) reconstruction method for phased-array magnetic resonance imaging with unknown coil sensitivities. We show that the signal-to-noise ratio (SNR) in the image produced by SoS is asymptotically (as the input SNR --> infinity) equal to that of maximum-ratio combining, which is the best unbiased reconstruction method when the coil sensitivities are known. Finally, we discuss the implications of this result. (C) 2003 Elsevier Science (USA). All rights reserved.