Helen Wills Neuroscience Institute, University of California, Berkeley, CA, United States; Advanced MRI Technologies, Sebastopol, CA, United States.
Helen Wills Neuroscience Institute, University of California, Berkeley, CA, United States; Advanced MRI Technologies, Sebastopol, CA, United States.
Neuroimage. 2018 Jan 1;164:155-163. doi: 10.1016/j.neuroimage.2017.02.020. Epub 2017 Feb 14.
Encoding higher spatial resolution in simultaneous multi-slice (SMS) EPI is highly dependent on gradient performance, high density receiver coil arrays and pulse sequence optimization. We simulate gradient amplitude and slew rate determination of EPI imaging performance in terms of minimum TE, echo spacing (ES) and spatial resolution. We discuss the effects of image zooming in pulse sequences that have been used for sub-millimeter resolutions and the trade-offs in using partial Fourier and parallel imaging to reduce TE, PSF and ES. Using optimizations for SMS EPI pulse sequences with available gradient and receiver hardware, experimental results in ultra-high resolution (UHR) (0.45-0.5mm isotropic) SMS-EPI fMRI and mapping ocular dominance columns (ODC) in human brain at 0.5 mm isotropic resolution are demonstrated. We discuss promising future directions of UHR fMRI.
在同时多层(SMS)EPI 中编码更高的空间分辨率高度依赖于梯度性能、高密度接收线圈阵列和脉冲序列优化。我们模拟了 EPI 成像性能的梯度幅度和上升时间,以最小的 TE、回波间隔(ES)和空间分辨率为指标。我们讨论了用于亚毫米分辨率的脉冲序列中的图像缩放效果,以及使用部分傅里叶和并行成像来减少 TE、PSF 和 ES 的权衡。使用可用梯度和接收器硬件的 SMS EPI 脉冲序列的优化,在超高分辨率(UHR)(0.45-0.5mm 各向同性)SMS-EPI fMRI 中进行了实验,并在 0.5mm 各向同性分辨率下展示了人类大脑中的眼优势柱(ODC)映射。我们讨论了 UHR fMRI 的有前途的未来方向。