论文标题
优化有效的3D-T1RHO映射的磁化准备梯度回波序列中的可变翻转角度
Optimizing Variable Flip-Angles in Magnetization-Prepared Gradient Echo Sequences for Efficient 3D-T1rho Mapping
论文作者
论文摘要
目的:优化选择磁化预备梯度回声(MP-GRE)序列的翻转角度的选择,以提高3D-T1RHO映射的精度,精度和速度。方法:我们提出了一种新的优化方法,用于查找可变翻转角(VFA)值,以改善用于3D-T1 \ r {HO}映射的MP-GRE序列。这种新方法可以同时提高准确性和信噪比(SNR),同时降低过滤效果。我们在MP-GRE序列的三种不同版本中演示了该概念,该序列通常用于3D-T1RHO映射,并评估其在模型琼脂糖幻像(n = 6)中的性能(n = 6)和健康的志愿者(n = 5)用于膝盖关节成像。我们还使用序列参数测试了靶向更快获取的序列参数。 Results: Our results show that optimized VFA can improve the accuracy and the precision of the sequences, seen as a reduction of the mean of normalized absolute difference (MNAD) from 6~8% to 4~5% in model phantoms and from 14~22% to 12~14% in the knee joint, and improving SNR from 12~27 to 24~35 in agarose phantoms and 5~13 to 11~16 in healthy volunteers.优化还可以补偿通过使序列更快地使序列造成的质量损失。这会导致序列配置,与其较慢的版本相比,使用类似的SNR和MNAD测量结果获得了几乎两倍的数据。结论:VFA的优化可用于提高准确性和精度,并提高用于定量3D-T1RHO映射的典型成像序列的速度。
Purpose: To optimize the choice of the flip-angles of magnetization-prepared gradient echo (MP-GRE) sequences for improved accuracy, precision, and speed of 3D-T1rho mapping. Methods: We propose a new optimization approach for finding variable flip-angle (VFA) values that improve MP-GRE sequences used for 3D-T1\r{ho} mapping. This new approach can simultaneously improve the accuracy and signal-to-noise ratio (SNR) while reducing filtering effects. We demonstrate the concept in the three different versions of the MP-GRE sequences that are typically used for 3D-T1rho mapping and evaluate their performance in model agarose phantoms (n=6) and healthy volunteers (n=5) for knee joint imaging. We also tested the optimization with sequence parameters targeting faster acquisitions. Results: Our results show that optimized VFA can improve the accuracy and the precision of the sequences, seen as a reduction of the mean of normalized absolute difference (MNAD) from 6~8% to 4~5% in model phantoms and from 14~22% to 12~14% in the knee joint, and improving SNR from 12~27 to 24~35 in agarose phantoms and 5~13 to 11~16 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 nearly twice more data per unit of time with similar SNR and MNAD measurements as compared to its slower versions. Conclusion: The optimization of the VFA can be used to increase accuracy and precision, and improve the speed of the typical imaging sequences used for quantitative 3D-T1rho mapping of the knee joint.