Zhou Ruixi, Weller Daniel S, Yang Yang, Wang Junyu, Jeelani Haris, Mugler John P, Salerno Michael
Department of Biomedical Engineering, University of Virginia Health System, Charlottesville, Virginia, USA.
Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, Virginia, USA.
Magn Reson Med. 2021 Jul;86(1):82-96. doi: 10.1002/mrm.28675. Epub 2021 Feb 15.
To develop a free-breathing cardiac self-gated technique that provides cine images and slice profile-corrected T maps from a single acquisition.
Without breath-holding or electrocardiogram gating, data were acquired continuously on a 3T scanner using a golden-angle gradient-echo spiral pulse sequence, with an inversion RF pulse applied every 4 seconds. Flip angles of 3° and 15° were used for readouts after the first four and second four inversions. Self-gating cardiac triggers were extracted from heart image navigators, and respiratory motion was corrected by rigid registration on each heartbeat. Cine images were reconstructed from the steady-state portion of 15° readouts using a low-rank plus sparse reconstruction. The T maps were fit using a projection onto convex sets approach from images reconstructed using slice profile-corrected dictionary learning. This strategy was evaluated in a phantom and 14 human subjects.
The self-gated signal demonstrated close agreement with the acquired electrocardiogram signal. The image quality for the proposed cine images and standard clinical balanced SSFP images were 4.31 (±0.50) and 4.65 (±0.30), respectively. The slice profile-corrected T values were similar to those of the inversion-recovery spin-echo technique in phantom, and had a higher global T value than that of MOLLI in human subjects.
Cine and T mapping using spiral acquisition with respiratory and cardiac self-gating successfully acquired T maps and cine images in a single acquisition without the need for electrocardiogram gating or breath-holding. This dual-excitation flip-angle approach provides a novel approach for measuring T while accounting for and slice profile effect on the apparent .
开发一种自由呼吸心脏自门控技术,该技术可通过单次采集提供电影图像和经切片轮廓校正的T图。
在不屏气或不进行心电图门控的情况下,使用黄金角梯度回波螺旋脉冲序列在3T扫描仪上连续采集数据,每4秒施加一次反转射频脉冲。在前四次和后四次反转后的读出中分别使用3°和15°的翻转角。从心脏图像导航器中提取自门控心脏触发信号,并通过对每个心跳进行刚性配准来校正呼吸运动。使用低秩加稀疏重建从15°读出的稳态部分重建电影图像。使用从经切片轮廓校正的字典学习重建的图像,通过凸集投影法拟合T图。该策略在体模和14名人类受试者中进行了评估。
自门控信号与采集的心电图信号显示出密切的一致性。所提出的电影图像和标准临床平衡稳态自由进动图像的图像质量分别为4.31(±0.50)和4.65(±0.30)。经切片轮廓校正的T值在体模中与反转恢复自旋回波技术的T值相似,在人类受试者中其全局T值高于MOLLI技术。
使用螺旋采集结合呼吸和心脏自门控的电影成像和T映射能够在单次采集中成功获取T图和电影图像,无需心电图门控或屏气。这种双激发翻转角方法为测量T提供了一种新方法,同时考虑了呼吸和切片轮廓对表观T的影响。