Tractometer: Towards validation of tractography pipelines
Tractometer: Towards validation of tractography pipelines
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DOI：
10.1016/j.media.2013.03.009
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发表时间：
2013-10-01
影响因子：
10.9
通讯作者：
Descoteaux, Maxime
中科院分区：
文献类型：
--
作者：
Cote, Marc-Alexandre;Girard, Gabriel;Descoteaux, Maxime
我们开发了Tractometer：一个用于跟踪处理管道的在线评估和验证系统。现在可以使用不同的采集设置（b值、平均值）、不同的局部估计技术（张量、q球、球面反卷积）和不同的跟踪参数（掩蔽、播种、最大曲率、步长）来评估57，000多个光纤跟踪输出的结果。在这个阶段，该系统完全基于修改后的FiberCup分析，但我们希望社区能够参与进来，为我们提供新的模型，新的算法，第三方库和新的几何度量，仅举几例。我们相信，新的连接性分析和tractography特征可以突出算法的局限性，并有助于解决纤维跟踪中的未决问题：从原始数据到连接性分析。总体而言，我们表明：（i）平均化可提高纤维束成像的质量，（ii）锐角ODF轮廓有助于纤维束成像，（iii）播种和多播种对纤维束成像输出有很大影响，必须谨慎使用，以及（iv）确定性纤维束成像产生的无效纤维束较少，从而比概率性纤维束成像产生更好的连通性结果，（C）2013 Elsevier B.V.保留所有权利。
We have developed the Tractometer: an online evaluation and validation system for tractography processing pipelines. One can now evaluate the results of more than 57,000 fiber tracking outputs using different acquisition settings (b-value, averaging), different local estimation techniques (tensor, q-ball, spherical deconvolution) and different tracking parameters (masking, seeding, maximum curvature, step size). At this stage, the system is solely based on a revised FiberCup analysis, but we hope that the community will get involved and provide us with new phantoms, new algorithms, third party libraries and new geometrical metrics, to name a few. We believe that the new connectivity analysis and tractography characteristics proposed can highlight limits of the algorithms and contribute in solving open questions in fiber tracking: from raw data to connectivity analysis. Overall, we show that (i) averaging improves quality of tractography, (ii) sharp angular ODF profiles helps tractography, (iii) seeding and multi-seeding has a large impact on tractography outputs and must be used with care, and (iv) deterministic tractography produces less invalid tracts which leads to better connectivity results than probabilistic tractography, (C) 2013 Elsevier B.V. All rights reserved.