Center for Brain Imaging Science and Technology, Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrumental Science, Zhejiang University, Hangzhou, Zhejiang, China; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA.
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA; Department of Radiology, Harvard Medical School, Boston, MA, USA.
Neuroimage. 2017 Nov 15;162:13-22. doi: 10.1016/j.neuroimage.2017.08.030. Epub 2017 Aug 24.
Whole-brain high-resolution quantitative imaging is extremely encoding intensive, and its rapid and robust acquisition remains a challenge. Here we present a 3D MR fingerprinting (MRF) acquisition with a hybrid sliding-window (SW) and GRAPPA reconstruction strategy to obtain high-resolution T, T and proton density (PD) maps with whole brain coverage in a clinically feasible timeframe.
3D MRF data were acquired using a highly under-sampled stack-of-spirals trajectory with a steady-state precession (FISP) sequence. For data reconstruction, k-k under-sampling was mitigated using SW combination along the temporal axis. Non-uniform fast Fourier transform (NUFFT) was then applied to create Cartesian k-space data that are fully-sampled in the in-plane direction, and Cartesian GRAPPA was performed to resolve k under-sampling to create an alias-free SW dataset. T, T and PD maps were then obtained using dictionary matching.
Phantom study demonstrated that the proposed 3D-MRF acquisition/reconstruction method is able to produce quantitative maps that are consistent with conventional quantification techniques. Retrospectively under-sampled in vivo acquisition revealed that SW + GRAPPA substantially improves quantification accuracy over the current state-of-the-art accelerated 3D MRF. Prospectively under-sampled in vivo study showed that whole brain T, T and PD maps with 1 mm resolution could be obtained in 7.5 min.
3D MRF stack-of-spirals acquisition with hybrid SW + GRAPPA reconstruction may provide a feasible approach for rapid, high-resolution quantitative whole-brain imaging.
全脑高分辨率定量成像对编码的要求极高,其快速、稳健的采集仍然是一个挑战。在这里,我们提出了一种 3D 磁共振指纹成像(MRF)采集方法,采用混合滑动窗口(SW)和 GRAPPA 重建策略,在临床可行的时间内获得全脑覆盖的高分辨率 T 1、T 2 和质子密度(PD)图。
使用高度欠采样的螺旋堆栈轨迹和稳态进动(FISP)序列采集 3D MRF 数据。为了进行数据重建,沿时间轴使用 SW 组合来减轻 k-k 欠采样。然后应用非均匀快速傅里叶变换(NUFFT)来创建完全采样的笛卡尔 k 空间数据,并进行笛卡尔 GRAPPA 以解决 k 欠采样问题,从而创建无别名的 SW 数据集。然后使用字典匹配获得 T 1、T 2 和 PD 图。
体模研究表明,所提出的 3D-MRF 采集/重建方法能够生成与传统定量技术一致的定量图。回顾性地对体内欠采样采集表明,SW+GRAPPA 大大提高了现有最先进的加速 3D MRF 的定量准确性。前瞻性地对体内欠采样研究表明,7.5 分钟内可以获得分辨率为 1mm 的全脑 T 1、T 2 和 PD 图。
混合 SW+GRAPPA 重建的 3D MRF 螺旋堆栈采集可能为快速、高分辨率的全脑定量成像提供一种可行的方法。