Department of Neuroradiology, Institute of Radiology, University of Basel Hospital, Petersgraben 4, 4031 Basel, Switzerland.
Neuroradiology. 2011 Mar;53(3):159-67. doi: 10.1007/s00234-010-0714-5. Epub 2010 May 18.
Magnetization transfer (MT) is sensitive to the macromolecular environment of water protons and thereby provides information not obtainable from conventional magnetic resonance imaging (MRI). Compared to standard methods, MT-sensitized balanced steady-state free precession (bSSFP) offers high-resolution images with significantly reduced acquisition times. In this study, high-resolution magnetization transfer ratio (MTR) images from normal appearing brain structures were acquired with bSSFP.
Twelve subjects were studied on a 1.5 T scanner. MTR values were calculated from MT images acquired in 3D with 1.3 mm isotropic resolution. The complete MT data set was acquired within less than 3.5 min. Forty-one brain structures of the white matter (WM) and gray matter (GM) were identified for each subject.
MTR values were higher for WM than GM. In general, MTR values of the WM and GM structures were in good accordance with the literature. However, MTR values showed more homogenous values within WM and GM structures than previous studies.
MT-sensitized bSSFP provides isotropic high-resolution MTR images and hereby allows assessment of reliable MTR data in also very small brain structures in clinically feasible acquisition times and is thus a promising sequence for being widely used in the clinical routine. The present normative data can serve as a reference for the future characterization of brain pathologies.
磁化转移(MT)对水质子的大分子环境敏感,因此提供了常规磁共振成像(MRI)无法获得的信息。与标准方法相比,MT 敏感的平衡稳态自由进动(bSSFP)提供了具有显著缩短采集时间的高分辨率图像。在这项研究中,使用 bSSFP 从正常表现的脑结构中获取了高分辨率的磁化转移比(MTR)图像。
12 名受试者在 1.5T 扫描仪上进行研究。通过在 3D 中以 1.3mm 各向同性分辨率采集 MT 图像来计算 MTR 值。完整的 MT 数据集在不到 3.5 分钟的时间内采集完成。为每位受试者识别了 41 个白质(WM)和灰质(GM)的脑结构的 MTR 值。
WM 的 MTR 值高于 GM。通常,WM 和 GM 结构的 MTR 值与文献相符。然而,与之前的研究相比,WM 和 GM 结构内的 MTR 值显示出更均匀的值。
MT 敏感的 bSSFP 提供各向同性的高分辨率 MTR 图像,从而允许在临床可行的采集时间内评估可靠的 MTR 数据,因此是一种很有前途的序列,有望在临床常规中广泛使用。目前的规范数据可以作为未来脑病理学特征描述的参考。