Akçakaya Mehmet, Basha Tamer A, Weingärtner Sebastian, Roujol Sébastien, Berg Sophie, Nezafat Reza
Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA.
Computer Assisted Clinical Medicine, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany.
Magn Reson Med. 2015 Jul;74(1):93-105. doi: 10.1002/mrm.25377. Epub 2014 Aug 7.
To develop an improved T prepared (T prep) balanced steady-state free-precession (bSSFP) sequence and signal relaxation curve fitting method for myocardial T mapping.
Myocardial T mapping is commonly performed by acquisition of multiple T prep bSSFP images and estimating the voxel-wise T values using a two-parameter fit for relaxation. However, a two-parameter fit model does not take into account the effect of imaging pulses in a bSSFP sequence or other imperfections in T prep RF pulses, which may decrease the robustness of T mapping. Therefore, we propose a novel T mapping sequence that incorporates an additional image acquired with saturation preparation, simulating a very long T prep echo time. This enables the robust estimation of T maps using a 3-parameter fit model, which captures the effect of imaging pulses and other imperfections. Phantom imaging is performed to compare the T maps generated using the proposed 3-parameter model with the conventional two-parameter model, as well as a spin echo reference. In vivo imaging is performed on eight healthy subjects to compare the different fitting models.
Phantom and in vivo data show that the T values generated by the proposed 3-parameter model fitting do not change with different choices of the T prep echo times, and are not statistically different than the reference values for the phantom (P = 0.10 with three T prep echoes). The two-parameter model exhibits dependence on the choice of T prep echo times and are significantly different than the reference values (P = 0.01 with three T prep echoes).
The proposed imaging sequence in combination with a three-parameter model allows accurate measurement of myocardial T values, which is independent of number and duration of T prep echo times. Magn Reson Med 74:93-105, 2015. © 2014 Wiley Periodicals, Inc.
开发一种改进的准备时间(T prep)平衡稳态自由进动(bSSFP)序列及用于心肌T值映射的信号弛豫曲线拟合方法。
心肌T值映射通常通过采集多个T prep bSSFP图像,并使用双参数弛豫拟合来估计体素级T值。然而,双参数拟合模型未考虑bSSFP序列中成像脉冲的影响或T prep射频脉冲中的其他缺陷,这可能会降低T值映射的稳健性。因此,我们提出了一种新颖的T值映射序列,该序列结合了通过饱和准备采集的额外图像,模拟了非常长的T prep回波时间。这使得能够使用三参数拟合模型稳健地估计T值映射,该模型捕捉了成像脉冲和其他缺陷的影响。进行体模成像,以比较使用所提出的三参数模型与传统双参数模型以及自旋回波参考生成的T值映射。对八名健康受试者进行体内成像,以比较不同的拟合模型。
体模和体内数据表明,所提出的三参数模型拟合生成的T值不会随T prep回波时间的不同选择而变化,并且与体模的参考值无统计学差异(三个T prep回波时P = 0.10)。双参数模型表现出对T prep回波时间选择的依赖性,并且与参考值有显著差异(三个T prep回波时P = 0.01)。
所提出的成像序列与三参数模型相结合,能够准确测量心肌T值,且该测量与T prep回波时间的数量和持续时间无关。《磁共振医学》74:93 - 105, 2015。© 2014威利期刊公司。