Jones Derek K, Travis Adam R, Eden Greg, Pierpaoli Carlo, Basser Peter J
Centre for Neuroimaging Sciences, Institute of Psychiatry, London SE5 8AF, UK.
Magn Reson Med. 2005 Jun;53(6):1462-7. doi: 10.1002/mrm.20484.
Diffusion tensor MRI tractography aims to reconstruct noninvasively the 3D trajectories of white matter fasciculi within the brain, providing neuroscientists and clinicians with a potentially useful tool for mapping brain architecture. While this technique is widely used to visualize white matter pathways, the associated uncertainty in fiber orientation and artifacts have, to date, not been visualized in conjunction with the trajectory data. In this work, the bootstrap method was used to determine the distributions of diffusion indices such as trace and anisotropy, together with the uncertainty in fiber orientation. A novel visualization scheme was developed to encode this information at each point along reconstructed trajectories. By integrating these schemes into a graphical user interface, a new tool which we call PASTA (Pointwise Assessment of Streamline Tractography Attributes) was created to facilitate identification of artifacts in tractography that would otherwise go undetected.
扩散张量磁共振成像纤维束成像旨在无创地重建脑内白质纤维束的三维轨迹，为神经科学家和临床医生提供一种潜在有用的脑结构映射工具。虽然这项技术被广泛用于可视化白质通路，但迄今为止，纤维方向的相关不确定性和伪影尚未与轨迹数据一起可视化。在这项工作中，采用自助法来确定诸如迹和各向异性等扩散指数的分布，以及纤维方向的不确定性。开发了一种新颖的可视化方案，以在沿重建轨迹的每个点对这些信息进行编码。通过将这些方案集成到图形用户界面中，创建了一个我们称之为PASTA（纤维束成像属性逐点评估）的新工具，以促进在纤维束成像中识别那些否则会未被检测到的伪影。
