Department of Radiology, Medical Physics, University Medical Center Freiburg, Freiburg, Germany.
IEEE Trans Med Imaging. 2011 Jun;30(6):1274-83. doi: 10.1109/TMI.2011.2112769. Epub 2011 Feb 10.
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.
基于扩散敏感磁共振图像准确可靠地估计纤维方向分布是示踪算法或任何其他衍生统计分析的主要前提。在这项工作中，我们提出了纤维连续性（FC）原理，该原理基于这样一个简单的观察，即纤维组织的成像对所测量的图像有一定的预期。从这个原理中，我们推导出了一种基于高角分辨率扩散成像（HARDI）的纤维方向分布估计的先验。我们在模拟、体模和体内数据上证明了所提出方法的优越性。此外，我们还提出了 FC 原理的另一种应用，名为 FC flow，这是一种仅基于扩散张量成像（DTI）来解决复杂交叉区域的方法。其思想是从相邻各向异性区域推断交叉区域的方向信息。
