Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.
Siemens Medical Solutions USA, Malvern, Pennsylvania, USA.
Magn Reson Med. 2023 Oct;90(4):1465-1483. doi: 10.1002/mrm.29740. Epub 2023 Jun 8.
To optimize the choice of the flip angles of magnetization-prepared gradient-echo sequences for improved accuracy, precision, and speed of 3D-T mapping.
We propose a new optimization approach for finding variable flip-angle values that improve magnetization-prepared gradient-echo sequences used for 3D-T mapping. This new approach can improve the accuracy and SNR, while reducing filtering effects. We demonstrate the concept in the three different versions of the magnetization-prepared gradient-echo sequences that are typically used for 3D-T mapping and evaluate their performance in model agarose phantoms (n = 4) and healthy volunteers (n = 5) for knee joint imaging. We also tested the optimization with sequence parameters targeting faster acquisitions.
Our results show that optimized variable flip angle can improve the accuracy and the precision of the sequences, seen as a reduction of the mean of normalized absolute difference from about 5%-6% to 3%-4% in model phantoms and from 15%-16% to 11%-13% in the knee joint, and improving SNR from about 12-28 to 22-32 in agarose phantoms and about 7-14 to 13-17 in healthy volunteers. The optimization can also compensate for the loss in quality caused by making the sequence faster. This results in sequence configurations that acquire more data per unit of time with SNR and mean of normalized absolute difference measurements close to its slower versions.
The optimization of the variable flip angle can be used to increase accuracy and precision, and to improve the speed of the typical imaging sequences used for quantitative 3D-T mapping of the knee joint.
优化磁化准备梯度回波序列的翻转角选择,以提高三维 T 映射的准确性、精度和速度。
我们提出了一种新的优化方法,用于寻找可变翻转角值,以改善用于三维 T 映射的磁化准备梯度回波序列。这种新方法可以提高准确性和 SNR,同时减少滤波效应。我们在通常用于三维 T 映射的三种不同版本的磁化准备梯度回波序列中演示了该概念,并在模型琼脂糖体模(n=4)和健康志愿者(n=5)中评估了它们在膝关节成像中的性能。我们还针对更快的采集测试了优化的序列参数。
我们的结果表明,优化的可变翻转角可以提高序列的准确性和精度,表现在模型体模中的归一化绝对差的平均值从约 5%-6%降低到 3%-4%,在膝关节中从 15%-16%降低到 11%-13%,在琼脂糖体模中的 SNR 从约 12-28 提高到 22-32,在健康志愿者中的 SNR 从约 7-14 提高到 13-17。优化还可以补偿由于使序列更快而导致的质量损失。这导致在每个时间单位内采集更多数据的序列配置,其 SNR 和归一化绝对差测量值接近其较慢的版本。
可变翻转角的优化可用于提高膝关节定量三维 T 映射的典型成像序列的准确性和精度,并提高速度。