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首页> 外文期刊>Magma: Magnetic resonance materials in physics, biology, and medicine >Grid-free interactive and automated data processing for MR chemical shift imaging data
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Grid-free interactive and automated data processing for MR chemical shift imaging data

机译：MR化学位移成像数据的无网格交互式自动数据处理

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摘要

Purpose: Today's available chemical shift imaging (CSI) analysis tools are based on Fourier transform of the entire data set prior to interactive display. This strategy is associated with limitations particularly when arbitrary voxel positions within a 3D spatial volume are needed by the user. In this work, we propose and demonstrate a processing-resource-efficient alternative strategy for both interactive and automated CSI data processing up to three spatial dimensions. Methods: This approach uses real-time voxel-shift by first-order phase manipulation as a basis and therefore allows grid-free voxel positioning within the 3D volume. The corresponding spectrum is extracted from the 4D data (3D spatial/1D spectral) at each time a voxel position is selected. The spatial response function and hence the exact voxel size and shape are calculated in parallel including the same processing parameters. Using this mechanism sequentially along with AMARES time-domain modeling, we also implemented automated quantitative and B _0-insensitive metabolite mapping. Results: Metabolite maps of N-acetyl aspartate, choline and creatine were generated using ~1H-CSI data from the brain of healthy volunteers and patients with tumor and epilepsy. ~(31)P-3D-CSI of the heart of a healthy volunteer is also shown. Conclusion: The calculated metabolite maps demonstrate good stability and accuracy of the algorithm in all situations tested. The suggested algorithm constitutes therefore an attractive alternative to existing CSI processing strategies.
机译：目的：当今可用的化学位移成像（CSI）分析工具基于交互式显示之前整个数据集的傅立叶变换。该策略与限制相关联，特别是在用户需要3D空间体积内的任意体素位置时。在这项工作中，我们提出并演示了一种处理资源有效的替代策略，用于交互式和自动CSI数据处理，最多三个空间维度。方法：该方法使用基于一阶相位操纵的实时体素移位作为基础，因此允许在3D体积内无网格体素定位。每次选择体素位置时，都会从4D数据（3D空间/ 1D光谱）中提取相应的光谱。并行计算空间响应函数，从而精确计算体素大小和形状，包括相同的处理参数。依次使用此机制和AMARES时域建模，我们还实现了自动定量和B _0不敏感代谢物图谱。结果：使用来自健康志愿者以及患有肿瘤和癫痫病患者大脑的〜1H-CSI数据生成N-乙酰基天冬氨酸，胆碱和肌酸的代谢产物图。还显示了健康志愿者心脏的〜（31）P-3D-CSI。结论：计算出的代谢物图谱表明该算法在所有测试情况下均具有良好的稳定性和准确性。因此，所提出的算法构成了现有CSI处理策略的一种有吸引力的替代方案。

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