Challenges in diffusion MRI tractography - Lessons learned from international benchmark competitions.

Schilling KG, Daducci A, Maier-Hein K, Poupon C, Houde JC, Nath V, Anderson AW, Landman BA, Descoteaux M
Magn Reson Imaging. 2019 57: 194-209

PMID: 30503948 · PMCID: PMC6331218 · DOI:10.1016/j.mri.2018.11.014

Diffusion MRI (dMRI) fiber tractography has become a pillar of the neuroimaging community due to its ability to noninvasively map the structural connectivity of the brain. Despite widespread use in clinical and research domains, these methods suffer from several potential drawbacks or limitations. Thus, validating the accuracy and reproducibility of techniques is critical for sound scientific conclusions and effective clinical outcomes. Towards this end, a number of international benchmark competitions, or "challenges", has been organized by the diffusion MRI community in order to investigate the reliability of the tractography process by providing a platform to compare algorithms and results in a fair manner, and evaluate common and emerging algorithms in an effort to advance the state of the field. In this paper, we summarize the lessons from a decade of challenges in tractography, and give perspective on the past, present, and future "challenges" that the field of diffusion tractography faces.

Copyright © 2018 Elsevier Inc. All rights reserved.

MeSH Terms (8)

Algorithms Benchmarking Brain Diffusion Tensor Imaging Humans Internationality Neuroimaging Reproducibility of Results

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