Model-Based Iterative Reconstruction for Radial Fast Spin-Echo MRI
Model-Based Iterative Reconstruction for Radial Fast Spin-Echo MRI
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DOI：
10.1109/tmi.2009.2023119
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发表时间：
2009-11-01
影响因子：
10.6
通讯作者：
Frahm, Jens
中科院分区：
文献类型：
--
作者：
Block, Kai Tobias;Uecker, Martin;Frahm, Jens
在径向快速自旋回波磁共振成像 (MRI) 中，会采集一组具有不一致 T2 权重的重叠辐条，这会在采用传统图像重建技术时产生平均图像对比度。这项工作表明，使用专用重建方法可以克服该问题，该方法可以通过提取嵌入的松弛信息进一步实现 T2 量化。因此，所提出的重建方法仅从单个径向数据集直接产生自旋密度和弛豫图。该方法基于问题的逆表述，并涉及对接收到的 MRI 信号进行建模。由于解决方案是通过数值优化找到的，因此该方法利用了获取的所有数据。此外，它还可以处理多线圈数据，并且可以选择性地允许结合额外的先验知识。对体模和人脑体内模型的模拟和实验结果表明，该方法生成的自旋密度和弛豫图既不受 TE 混合的典型伪影影响，也不受单个回波时间不完整 k 空间覆盖的条纹伪影的影响。
In radial fast spin-echo magnetic resonance imaging (MRI), a set of overlapping spokes with an inconsistent T2 weighting is acquired, which results in an averaged image contrast when employing conventional image reconstruction techniques. This work demonstrates that the problem may be overcome with the use of a dedicated reconstruction method that further allows for T2 quantification by extracting the embedded relaxation information. Thus, the proposed reconstruction method directly yields a spin-density and relaxivity map from only a single radial data set. The method is based on an inverse formulation of the problem and involves a modeling of the received MRI signal. Because the solution is found by numerical optimization, the approach exploits all data acquired. Further, it handles multicoil data and optionally allows for the incorporation of additional prior knowledge. Simulations and experimental results for a phantom and human brain in vivo demonstrate that the method yields spin-density and relaxivity maps that are neither affected by the typical artifacts from TE mixing, nor by streaking artifacts from the incomplete k-space coverage at individual echo times.