Speeding up dynamic spiral chemical shift imaging with incoherent sampling and low-rank matrix completion.
Speeding up dynamic spiral chemical shift imaging with incoherent sampling and low-rank matrix completion.
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DOI：
10.1002/mrm.26170
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发表时间：
2017-03
影响因子：
3.3
通讯作者：
Mayer D
中科院分区：
文献类型：
--
作者：
DeVience SJ;Mayer D
通过非相干采样和低秩矩阵完成（LRMC）提高动态13 C螺旋化学位移成像的时间和空间分辨率。螺旋CSI数据都是模拟和收购的大鼠，和欠采样实施回顾性和前瞻性的伪随机省略一小部分的螺旋交错。欠采样数据重建LRMC和传统的逆非均匀快速傅立叶变换（iNUFFT），并与全采样数据进行比较。使用LRMC重建的两倍欠采样使时间或空间分辨率提高了两倍，而没有显著的伪影或时空失真。相反，iNUFFT重建的欠采样产生了模糊图像的强烈伪影。LRMC在具有强代谢物信号的时间点表现更好。非相干欠采样和LRMC提供了一种在不降低数据完整性的情况下提高螺旋CSI的时空分辨率的方法。
To improve the temporal and spatial resolution of dynamic 13C spiral chemical shift imaging via incoherent sampling and low-rank matrix completion (LRMC). Spiral CSI data were both simulated and acquired in rats, and undersampling was implemented retrospectively and prospectively by pseudorandomly omitting a fraction of the spiral interleaves. Undersampled data were reconstructed with both LRMC and a conventional inverse nonuniform fast Fourier transform (iNUFFT) and compared with fully sampled data. Two-fold undersampling with LRMC reconstruction enabled a two-fold improvement in temporal or spatial resolution without significant artifacts or spatiotemporal distortion. Conversely, undersampling with iNUFFT reconstruction created strong artifacts that obscured the image. LRMC performed better at time points with strong metabolite signal. Incoherent undersampling and LRMC provides a way to increase the spatiotemporal resolution of spiral CSI without degrading data integrity.