Accelerating Phase-Encoded Proton MR Spectroscopic Imaging by Compressed Sensing
Accelerating Phase-Encoded Proton MR Spectroscopic Imaging by Compressed Sensing
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DOI：
10.1002/jmri.24553
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发表时间：
2015-02-01
影响因子：
4.4
通讯作者：
Wu, Ed X.
中科院分区：
文献类型：
--
作者：
Cao, Peng;Wu, Ed X.
目的研究一种基于压缩感知（CS）的相位编码缩减方案，用于相位编码的H-1磁共振光谱成像（MRSI）。材料与方法在7特斯拉下进行大鼠脑磁共振成像（MRSI）和体膜实验，检验CS方法的性能，并与全k空间获取方法进行比较。CS欠采样是通过获取相位编码的伪随机和密度变化子集来实现的。在CS重建之前，首先从欠采样k空间数据集中去除残余水共振。为了提高计算大规模L1最小值的效率，CS重构采用线性化Bregman迭代程序进行。通过比较谱线宽度和代谢物图以及体素Bland-Altman分析来评估光谱和空间保真度。结果sc保持了光谱分辨率和代谢物含量水平。未观察到光谱展宽，代谢物含量水平的估计偏差不超过4%。CS清晰地保留了代谢物图谱的边界，但导致代谢物图谱的细节略有丢失。结论本研究证明了CS方法加速相位编码H-1核磁共振成像的可行性。j .增效。的原因。成像2015;41:487 - 495。(c) 2013 Wiley Periodicals, Inc.；
PurposeTo develop a phase encoding reduction scheme based on compressed sensing (CS) for phase-encoded H-1 MR spectroscopic imaging (MRSI).Materials and MethodsPhantom and in vivo rat brain MRSI experiments were performed at 7 Tesla to examine the performance of CS approach and compare it with the full k-space acquisition. The CS undersampling was performed by acquiring a pseudorandom and density-varying subset of phase encodings. Residual water resonance was first removed from the undersampled k-space dataset before CS reconstruction. The CS reconstruction was performed by a linearized Bregman iteration procedure for efficiency in computing large scale L1 minimization. The spectral and spatial fidelity was evaluated by comparing spectral linewidths and metabolite maps and voxel-wise Bland-Altman analysis.ResultsCS preserved the spectral resolution and metabolite content levels. No spectral broadening was observed, and the estimation biases of the metabolite content levels were no more than 4%. CS clearly preserved the boundaries of metabolite maps but led to slight loss of details in metabolite maps.ConclusionThis study demonstrated the feasibility of the proposed CS approach to accelerate phase-encoded H-1 MRSI. J. Magn. Reson. Imaging 2015;41:487-495.(c) 2013 Wiley Periodicals, Inc.