Milford David, Bendszus Martin, Heiland Sabine
Department of Neuroradiology, University Hospital Heidelberg, Germany.
Department of Neuroradiology, University Hospital Heidelberg, Germany.
Z Med Phys. 2018 Feb;28(1):63-72. doi: 10.1016/j.zemedi.2017.08.002. Epub 2017 Aug 30.
T2 relaxometry as a quantitative MRI technique offers a more precise characterization of tissue, compared with qualitative T2 weighted imaging. The issue, however, is that in typically used T2 relaxometry sequences such as a multi-spin echo sequences, incorrect refocussing flip angles and B1 inhomogeneities cause inaccuracies in T2 determination. The work presented here within presents a new technique for modelling T2 decay curves and thereby correcting T2 times altered by inhomogeneities.
The proposed technique models the signal decay acquired by multi-spin echo sequences based on extended phase graph theory. We have then put this new correction technique to test under both noise free and noise affected simulated signal and compared it to other previously introduced correction methods. To compare the efficacy of the T2 correction techniques, it was applied to MRI data acquired at 9.4Tesla.
The results show that the proposed technique is able to minimize the systematic error in T2 relaxometry for a wide range of T2 times. Beyond that, the technique reveals the actual refocussing pulse angle in the respective voxel and reduces the error in S, which is mandatory if one aims for quantification of proton density.
与定性的T2加权成像相比,T2弛豫测量法作为一种定量MRI技术能够更精确地表征组织。然而,问题在于,在诸如多自旋回波序列等典型使用的T2弛豫测量序列中,不正确的重聚焦翻转角和B1不均匀性会导致T2测定不准确。本文介绍了一种用于对T2衰减曲线进行建模从而校正由不均匀性改变的T2时间的新技术。
所提出的技术基于扩展相位图理论对多自旋回波序列采集的信号衰减进行建模。然后,我们在无噪声和受噪声影响的模拟信号下对这种新的校正技术进行了测试,并将其与其他先前引入的校正方法进行了比较。为了比较T2校正技术的效果,将其应用于在9.4特斯拉采集的MRI数据。
结果表明,所提出的技术能够在很宽的T2时间范围内将T2弛豫测量中的系统误差降至最低。除此之外,该技术还能揭示各个体素中的实际重聚焦脉冲角度,并减少S中的误差,而如果要对质子密度进行量化,这是必不可少的。