Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland.
Magn Reson Med. 2012 Mar;67(3):679-90. doi: 10.1002/mrm.23057. Epub 2011 Jun 23.
The potential signal-to-noise ratio (SNR) gain at ultrahigh field strengths offers the promise of higher image resolution in single-shot diffusion-weighted echo-planar imaging the challenge being reduced T(2) and T(2) * relaxation times and increased B(0) inhomogeneity which lead to geometric distortions and image blurring. These can be addressed using parallel imaging (PI) methods for which a greater range of feasible reduction factors has been predicted at ultrahigh field strengths-the tradeoff being an associated SNR loss. Using comprehensive simulations, the SNR of high-resolution diffusion-weighted echo-planar imaging in combination with spin-echo and stimulated-echo acquisition is explored at 7 T and compared to 3 T. To this end, PI performance is simulated for coil arrays with a variable number of circular coil elements. Beyond that, simulations of the point spread function are performed to investigate the actual image resolution. When higher PI reduction factors are applied at 7 T to address increased image distortions, high-resolution imaging benefits SNR-wise only at relatively low PI reduction factors. On the contrary, it features generally higher image resolutions than at 3 T due to smaller point spread functions. The SNR simulations are confirmed by phantom experiments. Finally, high-resolution in vivo images of a healthy volunteer are presented which demonstrate the feasibility of higher PI reduction factors at 7 T in practice.
超高场强下潜在的信噪比 (SNR) 增益有望提高单次激发扩散加权回波平面成像的图像分辨率,但随之而来的是 T(2) 和 T(2) * 弛豫时间的缩短以及 B(0) 不均匀性的增加,这会导致几何变形和图像模糊。这些问题可以通过并行成像 (PI) 方法来解决,超高场强下有望实现更大范围的可行降采样率,但其代价是 SNR 损失。本研究使用全面的模拟方法,在 7T 与 3T 场强下分别对高分辨率扩散加权回波平面成像结合自旋回波和激发回波采集的 SNR 进行了探讨。为此,对具有不同数量圆形线圈元件的线圈阵列的 PI 性能进行了模拟。此外,还对点扩散函数进行了模拟,以研究实际的图像分辨率。当在 7T 下应用更高的 PI 降采样率来解决图像变形增加的问题时,高分辨率成像在相对较低的 PI 降采样率下仅在 SNR 方面受益。相反,由于点扩散函数较小,它通常具有比 3T 更高的图像分辨率。SNR 模拟结果通过体模实验得到了验证。最后,展示了一位健康志愿者的高分辨率体内图像,这些图像证实了在实践中可以在 7T 下应用更高的 PI 降采样率。