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arXiv 1502.07226physics.med-ph
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使用压缩感知和FRONSAC成像加速单次数据采集

Accelerate Single-shot Data Acquisitions Using Compressed Sensing and FRONSAC Imaging

Haifeng Wang, R. Todd Constable, Gigi Galiana

备注：
4 pages, 4 figures, accepted to IEEE International Symposium on Biomedical Imaging (ISBI) 2015
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摘要：

已经研究了非线性空间编码磁场（SEM），以补充多通道RF编码并加速MRI扫描。已发表的方案包括PatLoc、O-Space、P2P Space、4D-RIO等，但开发非线性SEM的各种可能方法大多尚未探索。之前，我们已经提出了一种新的方法，快速旋转非线性空间采集（FRONSAC）成像，其中非线性字段提供了一个小的旋转扰动标准的线性轨迹。虽然FRONSAC编码大大提高了图像质量，但在最高加速度或最弱的FRONSAC场下，仍存在一些欠采样伪影。然而，与FRONSAC编码一起出现的欠采样伪影是相对不相干的，并且非常适合于压缩感测（CS）重构。CS提供了一个稀疏促进凸策略，从高度欠采样的数据集重建图像。这里介绍的工作结合了FRONSAC和CS的优势。仿真表明，这种组合可以进一步改善低幅度和频率的FRONSAC梯度的图像重建。

英文摘要：

Nonlinear spatial encoding magnetic (SEM) fields have been studied to complement multichannel RF encoding and accelerate MRI scans. Published schemes include PatLoc, O-Space, Null Space, 4D-RIO, and others, but the large variety of possible approaches to exploiting nonlinear SEMs remains mostly unexplored. Before, we have presented a new approach, Fast ROtary Nonlinear Spatial ACquisition (FRONSAC) imaging, where the nonlinear fields provide a small rotating perturbation to standard linear trajectories. While FRONSAC encoding greatly improves image quality, at the highest accelerations or weakest FRONSAC fields, some undersampling artifacts remain. However, the under-sampling artifacts that occur with FRONSAC encoding are relatively incoherent and well suited to the compressed sensing (CS) reconstruction. CS provides a sparsity-promoting convex strategy to reconstruct images from highly undersampled datasets. The work presented here combines the benefits of FRONSAC and CS. Simulations illustrate that this combination can further improve image reconstruction with FRONSAC gradients of low amplitudes and frequencies.

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