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使用带有磁化传递准备和压缩感知的玫瑰花形轨迹在 7T 下进行脊髓成像的可行性。

Feasibility of spinal cord imaging at 7 T using rosette trajectory with magnetization transfer preparation and compressed sensing.

机构信息

Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA.

Auburn University MRI Research Center, Auburn University, Auburn, AL, USA.

出版信息

Sci Rep. 2023 May 31;13(1):8777. doi: 10.1038/s41598-023-35853-7.

Abstract

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.

摘要

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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/793d/10232418/fc1bb65495ea/41598_2023_35853_Fig1_HTML.jpg

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