具有多种纤维取向的概率性扩散张量成像：我们能获得什么？
Probabilistic diffusion tractography with multiple fibre orientations: What can we gain?
作者信息
Behrens T E J, Berg H Johansen, Jbabdi S, Rushworth M F S, Woolrich M W
机构信息
Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Oxford, UK.
出版信息
Neuroimage. 2007 Jan 1;34(1):144-55. doi: 10.1016/j.neuroimage.2006.09.018. Epub 2006 Oct 27.
Abstract
We present a direct extension of probabilistic diffusion tractography to the case of multiple fibre orientations. Using automatic relevance determination, we are able to perform online selection of the number of fibre orientations supported by the data at each voxel, simplifying the problem of tracking in a multi-orientation field. We then apply the identical probabilistic algorithm to tractography in the multi- and single-fibre cases in a number of example systems which have previously been tracked successfully or unsuccessfully with single-fibre tractography. We show that multi-fibre tractography offers significant advantages in sensitivity when tracking non-dominant fibre populations, but does not dramatically change tractography results for the dominant pathways.
摘要
我们提出了一种将概率性扩散纤维束成像直接扩展到多纤维取向情况的方法。通过自动相关性确定，我们能够在线选择每个体素处数据所支持的纤维取向数量，从而简化了在多取向场中进行纤维追踪的问题。然后，我们将相同的概率算法应用于多个示例系统中的多纤维和单纤维情况下的纤维束成像，这些系统此前使用单纤维纤维束成像进行追踪时有的成功有的失败。我们表明，在追踪非主导纤维群体时，多纤维纤维束成像在灵敏度方面具有显著优势，但对于主导通路的纤维束成像结果不会产生显著变化。
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