Improved self-calibrated spiral parallel imaging using JSENSE.
Improved self-calibrated spiral parallel imaging using JSENSE.
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DOI：
10.1016/j.medengphy.2008.09.009
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发表时间：
2009-06
影响因子：
2.2
通讯作者：
Ying L
中科院分区：
文献类型：
--
作者：
Sheng J;Wiener E;Liu B;Boada F;Ying L
螺旋MRI与笛卡尔MRI相比具有几个优势，例如更快的采集和降低的梯度需求。在并行成像中，螺旋轨迹由于其固有的自校准能力而特别令人感兴趣，这对于诸如fMRI和心脏成像的动态成像应用特别有用。现有的自校准技术使用在加速采集中密集采样的中心螺旋数据用于线圈灵敏度估计。然而，由于数据截断，所得到的灵敏度对于SENSE重建来说不够准确。本文将在笛卡尔轨迹中成功应用的JSENSE算法推广到螺旋轨迹，通过交替优化，使线圈灵敏度和所需图像联合重建，以提高精度。改进的灵敏度导致更准确的SENSE重建。从体模和体内数据的结果表明，证明螺旋轨迹的JSENSE的有效性。
Spiral MRI has several advantages over Cartesian MRI such as faster acquisitions and reduced demand in gradient. In parallel imaging, spiral trajectories are especially of great interest due to their inherent self-calibration capabilities, which is especially useful for dynamic imaging applications such as fMRI and cardiac imaging. The existing self-calibration techniques use the central spiral data that are sampled densely in the accelerated acquisition for coil sensitivity estimation. However, the resulting sensitivities are not sufficiently accurate for SENSE reconstruction due to the data truncation. In this paper, JSENSE which has been successfully used in Cartesian trajectories is extended to spiral trajectory such that the coil sensitivities and the desired image are reconstructed jointly to improve accuracy through alternating optimization. The improved sensitivities lead to a more accurate SENSE reconstruction. The results from both phantom and in vivo data are shown to demonstrate the effectiveness of JSENSE for spiral trajectory.
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