Chemical shift-based water/fat separation: a comparison of signal models.
Chemical shift-based water/fat separation: a comparison of signal models.
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DOI：
10.1002/mrm.22455
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发表时间：
2010-09
影响因子：
3.3
通讯作者：
Kellman, Peter
中科院分区：
文献类型：
--
作者：
Hernando, Diego;Liang, Zhi-Pei;Kellman, Peter
MRI中定量的水/脂肪分离需要对获得的信号进行仔细的建模。近年来提出了多种信号模型，但其相对性能尚未建立。本文对12种定量水/脂分离信号模型进行了比较研究。这些模型是根据三个主要标准选择的：幅度或复杂拟合，使用单峰或多峰脂肪谱，以及对衰变的建模。这些模型是在分析其结果估计的偏差和标准差的基础上进行比较的。理论分析、仿真、模拟实验和体内实验结果吻合良好。这些结果表明：(a)复杂拟合一致优于幅度拟合，(b)多峰脂肪模型能够消除单峰脂肪模型中存在的偏差，以及(c)单一模型在临床相关信噪比和水/脂肪比范围内表现最佳。
Quantitative water/fat separation in MRI requires careful modeling of the acquired signal. Multiple signal models have been proposed in recent years, but their relative performance has not yet been established. This article presents a comparative study of 12 signal models for quantitative water/fat separation. These models were selected according to three main criteria: magnitude or complex fitting, use of single-peak or multi-peak fat spectrum, and modeling of decay. The models were compared based on an analysis of the bias and standard deviation of their resulting estimates. Results from theoretical analysis, simulation, phantom experiments and in vivo data were in good agreement. These results show that: (a) complex fitting is uniformly superior to magnitude fitting, (b) multi-peak fat modeling is able to remove the bias present in single-peak fat modeling, and (c) a single- model performs best over a range of clinically relevant SNRs and water/fat ratios.
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影响因子：
3.3
作者：
Pineda, AR;Reeder, SB;Pelc, NJ
通讯作者：
Pelc, NJ
影响因子：
3.3
作者：
Hernando, D.;Haldar, J. P.;Liang, Z. -P.
通讯作者：
Liang, Z. -P.
影响因子：
4.4
作者：
Bernard, Clare P.;Liney, Gary P.;Langton, Christian M.
通讯作者：
Langton, Christian M.
影响因子：
19.7
作者：
O'Regan, Declan P.;Callaghan, Martina F.;Schmitz, Stephan A.
通讯作者：
Schmitz, Stephan A.
影响因子：
3.3
作者：
Hernando, Diego;Kellman, P.;Haldar, J. P.;Liang, Z-P.
通讯作者：
Liang, Z-P.