Fiber tracking in traumatic brain injury: Comparison of 9 tractography algorithms

Emily L. Dennis, Gautam Prasad, Madelaine Daianu, Liang Zhan, Talin Babikian, Claudia Kernan, Richard Mink, Christopher Babbitt, Jeffrey Johnson, Christopher C. Giza, Robert F. Asarnow, Paul M. Thompson

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Traumatic brain injury (TBI) can cause widespread and long-lasting damage to white matter. Diffusion weighted imaging methods are uniquely sensitive to this disruption. Even so, traumatic injury often disrupts brain morphology as well, complicating the analysis of brain integrity and connectivity, which are typically evaluated with tractography methods optimized for analyzing normal healthy brains. To understand which fiber tracking methods show promise for analysis of TBI, we tested 9 different tractography algorithms for their classification accuracy and their ability to identify vulnerable areas as candidates for longitudinal follow-up in pediatric TBI participants and matched controls. Deterministic tractography models yielded the highest classification accuracies, but their limitations in areas of extensive fiber crossing suggested that they generated poor candidates for longitudinal follow-up. Probabilistic methods, including a method based on the Hough transform, yielded slightly lower accuracy, but generated follow-up candidate connections more coherent with the known neuropathology of TBI.

Original languageEnglish
Title of host publicationBrainlesion
Subtitle of host publicationGlioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 1st International Workshop, Brainles 2015 Held in Conjunction with MICCAI 2015, Revised Selected Papers
EditorsMauricio Reyes, Alessandro Crimi, Oskar Maier, Oskar Maier, Heinz Handels, Bjoern Menze
PublisherSpringer Verlag
Pages33-44
Number of pages12
ISBN (Print)9783319308579
DOIs
StatePublished - 2016
Externally publishedYes
Event1st International Workshop on Brainlesion, Brainles 2015 Held in Conjunction with International Conference on Medical Image Computing for Computer-Assisted Intervention, MICCAI 2015 - Munich, Germany
Duration: 5 Oct 20155 Oct 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9556
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Workshop on Brainlesion, Brainles 2015 Held in Conjunction with International Conference on Medical Image Computing for Computer-Assisted Intervention, MICCAI 2015
Country/TerritoryGermany
CityMunich
Period5/10/155/10/15

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