Improving DTI tractography by including diagonal tract propagation.
Improving DTI tractography by including diagonal tract propagation.
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DOI：
10.1371/journal.pone.0043415
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发表时间：
2012
期刊：
影响因子：
3.7
通讯作者：
Biswal BB
中科院分区：
文献类型：
--
作者：
Taylor PA;Cho KH;Lin CP;Biswal BB
纤维束成像算法已被开发用于从扩散张量成像（DTI）数据中重建大脑中可能的白质通路。在这项研究中，提出了一种巧妙而简单的改进现有纤维束成像算法的方法，即允许纤维束在体素之间沿对角轨迹传播，而不是仅仅直线传播到其相邻面的体素。通过一系列测试（使用真实数据集和模拟数据集）来展示这种新方法的若干优点。首先，包含对角纤维束传播降低了算法对坐标轴任意方向的依赖性，从而减少了与该偏差相关的数值误差（此处也进行了演示）。此外，从定量和定性两方面来看，包含对角传播降低了结果对噪声的整体敏感度，并显著提高了扫描方案的效率；也就是说，所获得的纤维束（在更短的扫描时间内）能更快地收敛到具有高信噪比和空间分辨率的数据集中的纤维束。重要的是，对角传播的引入基本上没有给标准方法增加明显的计算时间或计算成本。本研究聚焦于广泛使用的流线追踪方法——FACT（连续追踪纤维评估），改进后的方法被称为“FACTID”（包含对角传播的FACT）。
Tractography algorithms have been developed to reconstruct likely WM pathways in the brain from diffusion tensor imaging (DTI) data. In this study, an elegant and simple means for improving existing tractography algorithms is proposed by allowing tracts to propagate through diagonal trajectories between voxels, instead of only rectilinearly to their facewise neighbors. A series of tests (using both real and simulated data sets) are utilized to show several benefits of this new approach. First, the inclusion of diagonal tract propagation decreases the dependence of an algorithm on the arbitrary orientation of coordinate axes and therefore reduces numerical errors associated with that bias (which are also demonstrated here). Moreover, both quantitatively and qualitatively, including diagonals decreases overall noise sensitivity of results and leads to significantly greater efficiency in scanning protocols; that is, the obtained tracts converge much more quickly (i.e., in a smaller amount of scanning time) to those of data sets with high SNR and spatial resolution. Importantly, the inclusion of diagonal propagation adds essentially no appreciable time of calculation or computational costs to standard methods. This study focuses on the widely-used streamline tracking method, FACT (fiber assessment by continuous tracking), and the modified method is termed “FACTID” (FACT including diagonals).
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