Brain Research Institute, Florey Neuroscience Institutes, Heidelberg, Victoria, Australia.
Neuroimage. 2012 Sep;62(3):1924-38. doi: 10.1016/j.neuroimage.2012.06.005. Epub 2012 Jun 13.
Diffusion MRI streamlines tractography suffers from a number of inherent limitations, one of which is the accurate determination of when streamlines should be terminated. Use of an accurate streamlines propagation mask from segmentation of an anatomical image confines the streamlines to the volume of the brain white matter, but does not take full advantage of all of the information available from such an image. We present a modular addition to streamlines tractography, which makes more effective use of the information available from anatomical image segmentation, and the known properties of the neuronal axons being reconstructed, to apply biologically realistic priors to the streamlines generated; we refer to this as "Anatomically-Constrained Tractography". Results indicate that some of the known false positives associated with tractography algorithms are prevented, such that the biological accuracy of the reconstructions should be improved, provided that state-of-the-art streamlines tractography methods are used.
弥散磁共振成像束追踪存在许多固有的局限性，其中之一是准确确定何时应终止束追踪。使用解剖图像分割的准确束追踪传播掩模将束追踪限制在脑白质的体积内，但没有充分利用此类图像提供的所有信息。我们提出了一种对束追踪的模块化添加，它可以更有效地利用解剖图像分割和正在重建的神经元轴突的已知特性提供的信息，将生物上合理的先验应用于生成的束追踪；我们称之为“解剖约束束追踪”。结果表明，一些与束追踪算法相关的已知假阳性被阻止，因此只要使用最新的束追踪方法，重建的生物学准确性就应该得到提高。
