Oros-Peusquens A M, Laurila M, Shah N J
Institute of Medicine, MR Group, Research Centre Jülich, 52425 Jülich, Germany.
MAGMA. 2008 Mar;21(1-2):131-47. doi: 10.1007/s10334-008-0107-5. Epub 2008 Mar 13.
This study investigates the field dependence of the distribution of in vivo, whole-brain T1 values, and its usefulness for white matter/grey matter segmentation. Results on T1 values are presented on 12 healthy volunteers. T2 and T2* distributions and their field dependence have been measured on the same cohort of volunteers. In this paper, however, only the T2 and T2* results on a single volunteer are presented. The reported field dependence of T2 and T2* values should, therefore, be given less weight than that of T1 times.
Relaxation times were measured in vivo on 12 healthy volunteers, using three nearly identical whole-body scanners, operating at field strengths of 1.5, 3, and 4 T and employing nearly identical software platforms and very similar hardware. T1 mapping was performed using TAPIR, a sequence based on the Look-Locker method. T2* mapping was performed with a multi-slice, multi-echo, gradient echo sequence. A multi-slice, multi-echo T2 mapping sequence based on the Carr-Purcell-Meiboom-Gill (CPMG) method was used to map T2. For each volunteer, the global distribution of T1 relaxation times was described as the superposition of three Gaussian distributions. The field and age-dependence of the centroids and widths of the three Gaussians was investigated. The segmentation of the brain in white and grey matter was performed separately for each field strength. Using the T1 segmentation and the fact that all maps were coregistered, we investigated the distribution of T2 and T*(2) values separately for the white and grey matter and described them with a Gaussian distribution in each case.
Multi-slice quantitative maps were produced for the relaxation parameters T1 (near whole-brain coverage with 41 slices), T2* (whole-brain coverage, 55 slices), and T2 (27 slices). A clear age dependence was identified for grey matter T1 values and correlated with similar behaviour observed in a separate study of the brain water content. The increase with field strength of the bulk white and grey matter T1 values was well reproduced by both Bottomley's [1] and Fischer's [2] formulae, with parameters taken from the literature. The separation between the centroids was, however, either overestimated or underestimated by the two formulae. The width of the T1 distributions was found to increase with increasing field.
The study of the field dependence of the NMR relaxation times is expected to allow for better differentiation between regions which are structurally different, provide a better insight into the microscopic structure of the brain and the molecular substrate of its function.
本研究调查了活体全脑T1值分布的场依赖性及其在白质/灰质分割中的效用。给出了12名健康志愿者的T1值结果。已在同一批志愿者中测量了T2和T2分布及其场依赖性。然而,本文仅给出了一名志愿者的T2和T2结果。因此,所报道的T2和T2*值的场依赖性应比T1时间的场依赖性权重更低。
使用三台几乎相同的全身扫描仪,在12名健康志愿者体内测量弛豫时间,这些扫描仪的场强分别为1.5T、3T和4T,采用几乎相同的软件平台和非常相似的硬件。使用基于Look-Locker方法的TAPIR序列进行T1映射。使用多切片、多回波梯度回波序列进行T2映射。基于Carr-Purcell-Meiboom-Gill(CPMG)方法的多切片、多回波T2映射序列用于映射T2。对于每位志愿者,T1弛豫时间的全局分布被描述为三个高斯分布的叠加。研究了三个高斯分布的质心和宽度的场依赖性及年龄依赖性。针对每个场强分别对白质和灰质进行脑部分割。利用T1分割以及所有图谱已配准这一事实,我们分别研究了白质和灰质中T2和T(2)值的分布,并在每种情况下用高斯分布对其进行描述。
生成了弛豫参数T1(41层近乎全脑覆盖)、T2*(全脑覆盖,55层)和T2(27层)的多切片定量图谱。确定灰质T1值存在明显的年龄依赖性,并且与在一项关于脑含水量的单独研究中观察到的类似行为相关。通过采用文献中的参数,Bottomley[1]和Fischer[2]的公式均很好地再现了白质和灰质总体T1值随场强的增加情况。然而,这两个公式对质心之间的间距要么高估要么低估。发现T1分布的宽度随场强增加而增大。
对NMR弛豫时间的场依赖性研究有望实现对结构不同区域的更好区分,更深入地了解脑的微观结构及其功能的分子基础。