McNab Jennifer A, Jbabdi Saâd, Deoni Sean C L, Douaud Gwenaëlle, Behrens Timothy E J, Miller Karla L
Oxford Centre for Functional Magnetic Resonance Imaging of the Brain, University of Oxford, Oxford, UK.
Neuroimage. 2009 Jul 1;46(3):775-85. doi: 10.1016/j.neuroimage.2009.01.008. Epub 2009 Jan 22.
High resolution diffusion tensor imaging and tractography of ex vivo brain specimens has the potential to reveal detailed fibre architecture not visible on in vivo images. Previous ex vivo diffusion imaging experiments have focused on animal brains or small sections of human tissue since the unfavourable properties of fixed tissue (including short T(2) and low diffusion rates) demand the use of very powerful gradient coils that are too small to accommodate a whole, human brain. This study proposes the use of diffusion-weighted steady-state free precession (DW-SSFP) as a method of extending the benefits of ex vivo DTI and tractography to whole, human, fixed brains on a clinical 3 T scanner. DW-SSFP is a highly efficient pulse sequence; however, its complicated signal dependence precludes the use of standard diffusion tensor analysis and tractography. In this study, a method is presented for modelling anisotropy in the context of DW-SSFP. Markov Chain Monte Carlo sampling is used to estimate the posterior distributions of model parameters and it is shown that it is possible to estimate a tight distribution on the principal axis of diffusion at each voxel using DW-SSFP. Voxel-wise estimates are used to perform tractography in a whole, fixed human brain. A direct comparison between 3D diffusion-weighted spin echo EPI and 3D DW-SSFP-EPI reveals that the orientation of the principal diffusion axis can be inferred on with a higher degree of certainty using a 3D DW-SSFP-EPI even with a 68% shorter acquisition time.
离体脑标本的高分辨率扩散张量成像和纤维束成像有潜力揭示活体图像上不可见的详细纤维结构。以往的离体扩散成像实验主要集中在动物脑或人类组织的小切片上,因为固定组织的不利特性(包括短T(2)和低扩散率)需要使用非常强大的梯度线圈,而这种线圈太小,无法容纳完整的人类大脑。本研究提出使用扩散加权稳态自由进动(DW-SSFP)作为一种方法,将离体DTI和纤维束成像的优势扩展到临床3T扫描仪上的完整人类固定大脑。DW-SSFP是一种高效的脉冲序列;然而,其复杂的信号依赖性排除了使用标准扩散张量分析和纤维束成像的可能性。在本研究中,提出了一种在DW-SSFP背景下对各向异性进行建模的方法。马尔可夫链蒙特卡罗采样用于估计模型参数的后验分布,结果表明,使用DW-SSFP可以在每个体素的扩散主轴上估计出紧密的分布。基于体素的估计用于在完整的固定人类大脑中进行纤维束成像。3D扩散加权自旋回波EPI和3D DW-SSFP-EPI之间的直接比较表明,即使采集时间缩短68%,使用3D DW-SSFP-EPI也能更确定地推断出主扩散轴的方向。