Improved segmentation reproducibility in group tractography using a quantitative tract similarity measure

被引:19
作者
Clayden, Jonathan D.
Bastin, Mark E.
Storkey, Amos J.
机构
[1] Univ Edinburgh, Western Gen Hosp, Sch Clin Sci & Community Hlth, Edinburgh EH4 2XU, Midlothian, Scotland
[2] Univ Edinburgh, Sch Informat, Neuroinformat Doctoral Training Ctr, Edinburgh EH1 2QL, Midlothian, Scotland
[3] Univ Edinburgh, Sch Informat, Inst Adapt & Neural Computat, Edinburgh EH1 2QL, Midlothian, Scotland
基金
英国医学研究理事会;
关键词
D O I
10.1016/j.neuroimage.2006.07.016
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
The field of tractography is rapidly developing, and many automatic or semiautomatic algorithms have now been devised to segment and visualize neural white matter fasciculi in vivo. However, these algorithms typically need to be given a starting location as input, and their output can be strongly dependent on the exact location of this "seed point". No robust method has yet been devised for placing these seed points so as to segment a comparable tract in a group of subjects. Here, we develop a measure of tract similarity, based on the shapes and lengths of the two tracts being compared, and apply it to the problem of consistent seed point placement and tract segmentation in group data. We demonstrate that using a single seed point transferred from standard space to each native space produces considerable variability in tractography output between scans. However, by seeding in a group of nearby candidate points and choosing the output with the greatest similarity to a reference tract chosen in advance-a method we refer to as neighborhood tractography-this variability can be significantly reduced. (c) 2006 Elsevier Inc. All rights reserved.
引用
收藏
页码:482 / 492
页数:11
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