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    • 7. 发明申请
    • METHOD FOR SEPARATING MAGNETIC RESONANCE IMAGING SIGNALS USING SPECTRAL DISTINCTION OF SPECIES
    • 使用光谱分析物种分离磁共振成像信号的方法
    • US20110254547A1
    • 2011-10-20
    • US12761231
    • 2010-04-15
    • Scott B. ReederHuanzhou Yu
    • Scott B. ReederHuanzhou Yu
    • G01R33/48
    • G01R33/4828G01R33/5615G01R33/56563
    • A method for producing an image of a subject with a magnetic resonance imaging (MRI) system in which a signal contribution of a chemical species is depicted and a signal contribution of another chemical species is substantially separated is provided. For example, the provided method is applicable for water-fat separation. Spectral differences between at least two different chemical species are exploited to produce a weighting map that depicts the likelihood that one chemical species being depicted as another. A weighting map that characterizes the smoothness of a field map variation is also produced. These weighting maps are utilized to produce a correct field map estimate, such that a robust separation of the signal contributions of the at least two chemical species can be performed.
    • 提供了一种利用其中描绘了化学物质的信号贡献并且另一种化学物质的信号贡献基本上分离的磁共振成像(MRI)系统来产生受试者的图像的方法。 例如,所提供的方法适用于水脂分离。 利用至少两种不同化学物质之间的光谱差异来产生加权图,其描绘了一种化学物种被描绘为另一种的可能性。 还产生了表征场映射变化的平滑度的权重映射。 这些加权图用于产生正确的场映射估计,使得可以执行至少两种化学物质的信号贡献的鲁棒分离。
    • 8. 发明授权
    • Method for water-fat separation and T2* estimation in an MRI system employing multiple fat spectral peaks and fat spectrum self-calibration
    • 在使用多个脂肪光谱峰和脂肪谱自校准的MRI系统中进行水脂分离和T2 *估计的方法
    • US07924003B2
    • 2011-04-12
    • US12104842
    • 2008-04-17
    • Huanzhou YuScott B. Reeder
    • Huanzhou YuScott B. Reeder
    • G01V3/00
    • G01R33/4828G01R33/5607G01R33/56527
    • NMR signal contributions from water and fat are separated using a model of the fat resonant frequency spectrum that has multiple resonant peaks. The relative frequencies of the multiple fat spectrum peaks are known a priori and their relative amplitudes are determined using a self-calibration process. With the determined relative amplitudes of the fat spectrum peaks, acquired NMR signals are modeled. Using this model and NMR signal data acquired at a plurality of echo times (TE), the signal contribution from multiple fat spectrum peaks is separated from the acquired NMR signal data. A combined image is alternatively produced from weighted contributions of the separated water and fat images. Additionally, a more accurate estimation of the apparent relaxation time and rate (T*2 and R*2, respectively) is alternatively performed.
    • 使用具有多个共振峰的脂肪共振频谱的模型分离水和脂肪的NMR信号贡献。 多个脂肪谱峰的相对频率是先验已知的,它们的相对幅度使用自校准过程来确定。 利用确定的脂肪谱峰的相对幅度,对获得的NMR信号进行建模。 使用在多个回波时间(TE)下获得的该模型和NMR信号数据,从所获取的NMR信号数据中分离来自多个脂肪谱峰的信号贡献。 可以通过分离的水和脂肪图像的加权贡献来产生组合图像。 此外,交替进行表观松弛时间和速率(分别为T * 2和R * 2)的更准确的估计。