白质纤维束成像的无偏组内配准
Unbiased groupwise registration of white matter tractography.
作者信息
O'Donnell Lauren J, Wells William M, Golby Alexandra J, Westin Carl-Fredrik
机构信息
Laboratory for Mathematics in Imaging, BWH, Harvard Medical School, Boston, MA, USA.
出版信息
Med Image Comput Comput Assist Interv. 2012;15(Pt 3):123-30. doi: 10.1007/978-3-642-33454-2_16.
Abstract
We present what we believe to be the first investigation into unbiased multi-subject registration of whole brain diffusion tractography of the white matter. To our knowledge, this is also the first entropy-based objective function applied to fiber tract registration. To define the probability of fiber trajectories for the computation of entropy, we take advantage of a pairwise fiber distance used as the basis for a Gaussian-like kernel. By employing several values of the kernel's scale parameter, the method is inherently multi-scale. Results of experiments using synthetic and real datasets demonstrate the potential of the method for simultaneous joint registration of tractography.
摘要
我们展示了我们认为是对白质全脑扩散张量成像进行无偏多主体配准的首次研究。据我们所知，这也是首个应用于纤维束配准的基于熵的目标函数。为了定义用于熵计算的纤维轨迹概率，我们利用了用作高斯核基础的成对纤维距离。通过采用核尺度参数的几个值，该方法本质上是多尺度的。使用合成数据集和真实数据集的实验结果证明了该方法在同时联合配准纤维束成像方面的潜力。
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