Royuela-Del-Val Javier, Cordero-Grande Lucilio, Simmross-Wattenberg Federico, Martín-Fernández Marcos, Alberola-López Carlos
Laboratorio de Procesado de Imagen, Universidad de Valladolid, Valladolid, Spain.
Division of Imaging Sciences and Biomedical Engineering, Centre for the Developing Brain, King's College London, London, UK.
Magn Reson Med. 2017 Mar;77(3):1208-1215. doi: 10.1002/mrm.26198. Epub 2016 Mar 11.
To eliminate the need of spatial intraframe regularization in a recently reported dynamic MRI compressed-sensing-based reconstruction method with motion compensation and to increase its performance.
We propose a new regularization metric based on the introduction of a spatial weighting measure given by the Jacobian of the estimated deformations. It shows convenient discretization properties and, as a byproduct, it also provides a theoretical support to a result reported by others based on an intuitive design. The method has been applied to the reconstruction of both short and long axis views of the heart of four healthy volunteers. Quantitative image quality metrics as well as straightforward visual assessment are reported.
Short and long axis reconstructions of cardiac cine MRI sequences have shown superior results than previously reported methods both in terms of quantitative metrics and of visual assessment. Fine details are better preserved due to the lack of additional intraframe regularization, with no significant image artifacts even for an acceleration factor of 12.
The proposed Jacobian Weighted temporal Total Variation results in better reconstructions of highly undersampled cardiac cine MRI than previously proposed methods and sets a theoretical ground for forward and backward predictors used elsewhere. Magn Reson Med 77:1208-1215, 2017. © 2016 International Society for Magnetic Resonance in Medicine.
在最近报道的一种基于动态磁共振成像压缩感知且带有运动补偿的重建方法中，消除对帧内空间正则化的需求并提高其性能。
我们基于引入由估计变形的雅可比矩阵给出的空间加权度量，提出了一种新的正则化度量。它具有方便的离散化特性，并且作为副产品，还为其他人基于直观设计所报道的结果提供了理论支持。该方法已应用于四名健康志愿者心脏短轴和长轴视图的重建。报告了定量图像质量指标以及直观的视觉评估结果。
心脏电影磁共振成像序列的短轴和长轴重建在定量指标和视觉评估方面均显示出比先前报道的方法更优的结果。由于无需额外的帧内正则化，精细细节得到了更好的保留，即使加速因子为12时也没有明显的图像伪影。
所提出的雅可比加权时间全变差方法在高度欠采样的心脏电影磁共振成像重建方面比先前提出的方法效果更好，并为其他地方使用的前向和后向预测器奠定了理论基础。《磁共振医学》7:1208 - 1215, 2017。© 2016国际磁共振医学学会。
