Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA.
Auburn University MRI Research Center, Auburn University, Auburn, AL, USA.
Sci Rep. 2023 May 31;13(1):8777. doi: 10.1038/s41598-023-35853-7.
MRI is a valuable diagnostic tool to investigate spinal cord (SC) pathology. SC MRI can benefit from the increased signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) at ultra-high fields such as 7 T. However, SC MRI acquisitions with routine Cartesian readouts are prone to image artifacts caused by physiological motion. MRI acquisition techniques with non-Cartesian readouts such as rosette can help reduce motion artifacts. The purpose of this study was to demonstrate the feasibility of high-resolution SC imaging using rosette trajectory with magnetization transfer preparation (MT-prep) and compressed sensing (CS) at 7 T. Five healthy volunteers participated in the study. Images acquired with rosette readouts demonstrated reduced motion artifacts compared to the standard Cartesian readouts. The combination of multi-echo rosette-readout images improved the CNR by approximately 50% between the gray matter (GM) and white matter (WM) compared to single-echo images. MT-prep images showed excellent contrast between the GM and WM with magnetization transfer ratio (MTR) and cerebrospinal fluid normalized MT signal (MTCSF) = 0.12 ± 0.017 and 0.74 ± 0.013, respectively, for the GM; and 0.18 ± 0.011 and 0.58 ± 0.009, respectively, for the WM. Under-sampled acquisition using rosette readout with CS reconstruction demonstrated up to 6 times faster scans with comparable image quality as the fully-sampled acquisition.
MRI 是一种用于研究脊髓(SC)病变的有价值的诊断工具。在超高场(如 7T)下,SC MRI 可以受益于更高的信噪比(SNR)和对比噪声比(CNR)。然而,使用常规笛卡尔读出方式进行 SC MRI 采集容易受到生理运动引起的图像伪影的影响。使用非笛卡尔读出方式(如玫瑰花结)的 MRI 采集技术有助于减少运动伪影。本研究旨在展示在 7T 下使用带有磁化传递准备(MT-prep)和压缩感知(CS)的玫瑰花结轨迹进行高分辨率 SC 成像的可行性。五名健康志愿者参与了本研究。与标准笛卡尔读出方式相比,使用玫瑰花结读出方式采集的图像显示运动伪影减少。与单回波图像相比,多回波玫瑰花结读出图像组合可使灰质(GM)和白质(WM)之间的 CNR 提高约 50%。MT-prep 图像显示 GM 和 WM 之间具有出色的对比度,GM 的磁化转移率(MTR)和脑脊液归一化 MT 信号(MTCSF)分别为 0.12±0.017 和 0.74±0.013,WM 分别为 0.18±0.011 和 0.58±0.009。使用 CS 重建的玫瑰花结读出方式进行欠采样采集可实现高达 6 倍的扫描速度提升,同时具有与完全采样采集相当的图像质量。