Savadjiev Peter, Rathi Yogesh, Malcolm James G, Shenton Martha E, Westin Carl-Fredrik
Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Med Image Comput Comput Assist Interv. 2010;13(Pt 2):233-40. doi: 10.1007/978-3-642-15745-5_29.
We introduce a fibre tractography framework based on a particle filter which estimates a local geometrical model of the underlying white matter tract, formulated as a 'streamline flow' using generalized helicoids. The method is not dependent on the diffusion model, and is applicable to diffusion tensor (DT) data as well as to high angular resolution reconstructions. The geometrical model allows for a robust inference of local tract geometry, which, in the context of the causal filter estimation, guides tractography through regions with partial volume effects. We validate the method on synthetic data and present results on two types in vivo data: diffusion tensors and a spherical harmonic reconstruction of the fibre orientation distribution function (fODF).
我们介绍了一种基于粒子滤波器的纤维束成像框架，该框架估计潜在白质束的局部几何模型，使用广义螺旋面将其表述为“流线流”。该方法不依赖于扩散模型，适用于扩散张量（DT）数据以及高角分辨率重建。几何模型允许对局部束几何进行稳健推断，在因果滤波器估计的背景下，该推断可引导纤维束成像穿过具有部分容积效应的区域。我们在合成数据上验证了该方法，并展示了在两种体内数据类型上的结果：扩散张量和纤维取向分布函数（fODF）的球谐重建。
