SNR-optimality of sum-of-squares reconstruction for phased-array magnetic resonance imaging

被引：85

作者：

Larsson, EG ^{[1
]}

Erdogmus, D

Yan, R

Principe, JC

Fitzsimmons, JR

机构：

[1] Univ Florida, Dept Elect & Comp Engn, Gainesville, FL 32611 USA

[2] Univ Florida, Dept Elect & Comp Engn, Gainesville, FL 32611 USA

来源：

JOURNAL OF MAGNETIC RESONANCE | 2003年 / 163卷 / 01期

关键词：

magnetic resonance imaging; sum-of-squares; signal-to-noise ratio; statistical properties;

D O I：

10.1016/S1090-7807(03)00132-0

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页码：121 / 123

页数：3

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