论文标题

自由呼吸定量腹部成像的MR指纹识别优化

Optimization of MR Fingerprinting for Free-Breathing Quantitative Abdominal Imaging

论文作者

van Riel, Max H. C., Yu, Zidan, Hodono, Shota, Xia, Ding, Chandarana, Hersh, Fujimoto, Koji, Cloos, Martijn A.

论文摘要

在这项工作中,我们提出了一种自由呼吸的磁共振指纹方法,可用于在临床上可接受的时间内获得腹部的$ b_1^+$ - 可靠的定量图。实施了具有径向堆栈的三维MR指纹序列,用于定量腹部成像。调整了K空间采集排序以提高运动能力。使用Cramér-Rao下限优化了翻转角模式,并评估了300、600、900和1800 Flip角的序列的编码效率。为了验证序列,开发了一个可移动的多区域幻影。使用先前验证的MRF方法在固定条件下获取参考多参数图。幻影的周期性运动用于研究所提出的序列的运动稳定性。在自由呼吸的志愿者扫描过程中,使用了最佳性能序列长度(600个翻转角度)来对腹部进行成像。当使用一系列600个或更多的翻转角度时,固定幻影中估计的$ t_1 $值与参考扫描显示了很好的一致性。幻影实验表明,与运动相关的伪像可以出现在定量图中,并确认运动稳定的K空间排序对于防止这些伪像是必不可少的。体内扫描表明,所提出的序列可以产生干净的参数图,而受试者自由呼吸。使用此序列,可以在自由呼吸条件下在5分钟内以临床可用的分辨率下生成$ b_1^+$ - 质子密度,$ t_1 $和$ b_1^+$的稳健定量图。

In this work, we propose a free-breathing magnetic resonance fingerprinting method that can be used to obtain $B_1^+$-robust quantitative maps of the abdomen in a clinically acceptable time. A three-dimensional MR fingerprinting sequence with a radial stack-of-stars trajectory was implemented for quantitative abdominal imaging. The k-space acquisition ordering was adjusted to improve motion-robustness. The flip angle pattern was optimized using the Cramér-Rao Lower Bound, and the encoding efficiency of sequences with 300, 600, 900, and 1800 flip angles was evaluated. To validate the sequence, a movable multicompartment phantom was developed. Reference multiparametric maps were acquired under stationary conditions using a previously validated MRF method. Periodic motion of the phantom was used to investigate the motion-robustness of the proposed sequence. The best performing sequence length (600 flip angles) was used to image the abdomen during a free-breathing volunteer scan. When using a series of 600 or more flip angles, the estimated $T_1$ values in the stationary phantom showed good agreement with the reference scan. Phantom experiments revealed that motion-related artefacts can appear in the quantitative maps, and confirmed that a motion-robust k-space ordering is essential in preventing these artefacts. The in vivo scan demonstrated that the proposed sequence can produce clean parameter maps while the subject breathes freely. Using this sequence, it is possible to generate $B_1^+$-robust quantitative maps of proton density, $T_1$, and $B_1^+$ under free-breathing conditions at a clinically usable resolution within 5 minutes.

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