Fiber Continuity: An Anisotropic Prior for ODF Estimation
Fiber Continuity: An Anisotropic Prior for ODF Estimation
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DOI：
10.1109/tmi.2011.2112769
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发表时间：
2011-06-01
影响因子：
10.6
通讯作者：
Kiselev, Valerij G.
中科院分区：
文献类型：
--
作者：
Reisert, Marco;Kiselev, Valerij G.
基于扩散敏感磁共振图像的纤维取向分布的准确和可靠的估计是纤维束成像算法或任何其他衍生统计分析的主要先决条件。在这项工作中，我们制定的原则，纤维连续性（FC），这是基于简单的观察，纤维组织的成像意味着一定的期望测量图像。从这个原则，我们推导出一个先验的纤维取向分布的估计的基础上高角分辨率扩散成像（HARDI）。我们证明了模拟，幻影，并在体内的数据所提出的方法的优越性。此外，我们提出了另一个应用FC原则，命名FC流，一种方法来解决复杂的交叉区域的扩散张量成像（DTI）的基础上。其思想是从相邻的各向异性区域中推断交叉区域中的方向信息。
The accurate and reliable estimation of fiber orientation distributions, based on diffusion-sensitized magnetic resonance images is a major prerequisite for tractography algorithms or any other derived statistical analysis. In this work, we formulate the principle of fiber continuity (FC), which is based on the simple observation that the imaging of fibrous tissue implies certain expectations for the measured images. From this principle we derive a prior for the estimation of fiber orientation distributions based on high angular resolution diffusion imaging (HARDI). We demonstrate on simulated, phantom, and in vivo data the superiority of the proposed approach. Further, we propose another application of the FC principle, named FC flow, a method to resolve complex crossing regions solely based on diffusion tensor imaging (DTI). The idea is to infer directional information in crossing regions from adjacent anisotropic areas.