Magnetic Resonance Research Centre, Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge CB3 0AS, United Kingdom.
Shell Technology Center, 3333 Highway 6 S, Houston, TX 77082, USA.
J Magn Reson. 2018 Oct;295:45-56. doi: 10.1016/j.jmr.2018.07.012. Epub 2018 Jul 19.
A method is presented for accelerating the acquisition of spatially-resolved displacement propagators via under-sampling of an Alternating Pulsed Gradient Stimulated Echo - Rapid Acquisition with Relaxation Enhancement (APGSTE-RARE) data acquisition with compressed sensing image reconstruction. The method was demonstrated with respect to the acquisition of 2D spatially-resolved displacement propagators of water flowing through a packed bed of hollow cylinders. The q,k-space was under-sampled according to variable-density pseudo-random sampling patterns. The quality of compressed sensing reconstructions of spatially-resolved propagators at a range of sampling fractions was assessed using the peak signal-to-noise ratio (PSNR) as a quality metric. Propagators of good quality (PSNR 33.2 dB) were reconstructed from only 6.25% of all data points in q,k-space, resulting in a reduction in the data acquisition time from 4 h to 14 min. The spatially-resolved propagators were reconstructed using both the total variation and nuclear norm sparsifying transforms; use of total variation resulted in a slightly higher quality of the reconstructed image in most cases. To illustrate the power of this method to characterise heterogeneous flow in porous media, the method is applied to the characterisation of flow in a vuggy carbonate rock.
提出了一种通过压缩感知图像重建对交替脉冲梯度激励回波-弛豫增强快速采集(APGSTE-RARE)数据采集进行欠采样以加速获取空间分辨位移传播器的方法。该方法通过获取通过中空圆柱填充床流动的水的二维空间分辨位移传播器进行了演示。根据可变密度伪随机采样模式对 q,k-空间进行了欠采样。使用峰值信噪比(PSNR)作为质量指标评估了在各种采样分数下空间分辨传播器的压缩感知重建的质量。仅从 q,k-空间中所有数据点的 6.25%就可以重建出高质量的传播器(PSNR 33.2dB),从而将数据采集时间从 4 小时缩短至 14 分钟。使用全变差和核范数稀疏变换重建了空间分辨传播器;在大多数情况下,使用全变差会导致重建图像的质量略有提高。为了说明该方法对多孔介质中不均匀流动进行表征的能力,该方法应用于对多孔碳酸盐岩中流动的表征。