Quantitative evaluation of 10 tractography algorithms on a realistic diffusion MR phantom
Quantitative evaluation of 10 tractography algorithms on a realistic diffusion MR phantom
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DOI：
10.1016/j.neuroimage.2011.01.032
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发表时间：
2011-05-01
期刊：
影响因子：
5.7
通讯作者：
Poupon, Cyril
中科院分区：
文献类型：
--
作者：
Fillard, Pierre;Descoteaux, Maxime;Poupon, Cyril
由于弥散磁共振纤维束成像提供了唯一的方法来映射白色纤维在体内，在临床和神经科学研究中越来越重要。然而，尽管不同的扩散模型和纤维束成像算法的可用性越来越高，但在给定某些成像参数的情况下，如何选择最佳的纤维重建方法仍不清楚。因此，对这些模型和算法进行定量比较，并深入了解相应的优缺点是至关重要的。在这项工作中，我们使用一个共同的数据集与已知的地面真相和可重复的方法来定量评估各种扩散模型和纤维束成像算法的性能。为了检查各种方法，在“纤维杯”竞赛中向公众发布了数据集（而不是地面真相）进行评估。评价了10种纤维重建方法。研究结果表明：1.对于高SNR数据集，扩散模型，如（纤维）方向分布函数正确地模拟底层纤维分布，并可以与流线纤维束成像结合使用，和2。对于中等或低SNR数据集，建议对扩散模型或纤维的空间平滑度进行先验分析，以正确建模纤维分布和正确的纤维束成像结果。迄今为止获得的体模数据集、地面实况光纤、评估方法和结果将在以下网站上公开提供：http://www.lnao.fr/spip.php? rubrique 79作为现有或新纤维束成像方法的比较基础。新的结果可以提交到fibercup09@gmail.com，更新将在网页上发布。(C)2011 Elsevier Inc. All rights reserved.
As it provides the only method for mapping white matter fibers in vivo, diffusion MRI tractography is gaining importance in clinical and neuroscience research. However, despite the increasing availability of different diffusion models and tractography algorithms, it remains unclear how to select the optimal fiber reconstruction method, given certain imaging parameters. Consequently, it is of utmost importance to have a quantitative comparison of these models and algorithms and a deeper understanding of the corresponding strengths and weaknesses. In this work, we use a common dataset with known ground truth and a reproducible methodology to quantitatively evaluate the performance of various diffusion models and tractography algorithms. To examine a wide range of methods, the dataset, but not the ground truth, was released to the public for evaluation in a contest, the "Fiber Cup". 10 fiber reconstruction methods were evaluated. The results provide evidence that: 1. For high SNR datasets, diffusion models such as (fiber) orientation distribution functions correctly model the underlying fiber distribution and can be used in conjunction with streamline tractography, and 2. For medium or low SNR datasets, a prior on the spatial smoothness of either the diffusion model or the fibers is recommended for correct modelling of the fiber distribution and proper tractography results. The phantom dataset, the ground truth fibers, the evaluation methodology and the results obtained so far will remain publicly available on: http://www.lnao.fr/spip.php? rubrique79 to serve as a comparison basis for existing or new tractography methods. New results can be submitted to fibercup09@gmail.com and updates will be published on the webpage. (C) 2011 Elsevier Inc. All rights reserved.