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首页> 外文期刊>Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine >Segmented 2D-selective RF excitations with weighted averaging and flip angle adaptation for MR spectroscopy of irregularly shaped voxel
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Segmented 2D-selective RF excitations with weighted averaging and flip angle adaptation for MR spectroscopy of irregularly shaped voxel

机译:具有加权平均和翻转角自适应功能的分段2D选择性RF激发,用于不规则形状体素的MR光谱

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摘要

A weighted averaging scheme with flip angle adaptation is presented for segmented 2D-selective RF excitations and applied to single-line segments of a blipped-planar trajectory. Segments covering the central k-space, i.e. those with significant signal contributions, are averaged more often than the (outer) segments with low RF amplitudes and minor signal contributions. For compensation, these outer segments are applied with an increased RF amplitude, i.e. a larger flip angle, such that an unaltered signal contribution is obtained in a reduced number of shots. Numerical simulations and experiments in phantoms and the human brain in vivo demonstrate that the approach considerably increases the signal efficiency, i.e. the signal accumulated per time unit, without introducing profile distortions. Its application to single-voxel MR spectroscopy of a corpus-callosum-shaped region-of-interest yielded, due to an optimum coverage of the target volume, higher signal amplitudes than conventional localization based on cross-sectional RF excitations. Thus, the approach could improve the reliability of single-voxel MR spectroscopy.
机译:提出了一种具有翻转角自适应的加权平均方案,用于分段的2D选择性RF激励,并应用于不规则平面轨迹的单线段。覆盖中心k空间的片段(即具有明显信号贡献的片段)的平均频率要比具有低RF幅度和较小信号贡献的(外部)片段的平均频率更高。为了补偿,以增加的RF幅度(即,较大的翻转角)施加这些外部段,使得在减少的镜头数量中获得不变的信号贡献。在人体模型和人体大脑中进行的数值模拟和实验表明,该方法可显着提高信号效率,即每时间单位积累的信号,而不会引起轮廓失真。由于目标体积的最佳覆盖,其在to体-形感兴趣区域的单体素MR光谱中的应用比常规的基于横截面RF激发的定位具有更高的信号幅度。因此,该方法可以提高单体素磁共振波谱的可靠性。

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