Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI

Maffei, Chiara, Girard, Gabriel, Schilling, Kurt G., Aydogan, Dogu Baran, Adluru, Nagesh, Zhylka, Andrey, Wu, Ye, Mancini, Matteo, Hamamci, Andac, Sarica, Alessia, Teillac, Achille, Baete, Steven H., Karimi, Davood, Yeh, Fang-Cheng, Yildiz, Mert E., Gholipour, Ali, Bihan-Poudec, Yann, Hiba, Bassem, Quattrone, Andrea, Quattrone, Aldo, Boshkovski, Tommy, Stikov, Nikola, Yap, Pew-Thian, de Luca, Alberto, Pluim, Josien, Leemans, Alexander, Prabhakaran, Vivek, Bendlin, Barbara B., Alexander, Andrew L., Landman, Bennett A., Canales-Rodríguez, Erick J., Barakovic, Muhamed, Rafael-Patino, Jonathan, Yu, Thomas, Rensonnet, Gaëtan, Schiavi, Simona, Daducci, Alessandro, Pizzolato, Marco, Fischi-Gomez, Elda, Thiran, Jean-Philippe, Dai, George, Grisot, Giorgia, Lazovski, Nikola, Puch, Santi, Ramos, Marc, Rodrigues, Paulo, Prčkovska, Vesna, Jones, Robert, Lehman, Julia, Haber, Suzanne N. and Yendiki, Anastasia 2022. Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI. NeuroImage 257 , 119327. 10.1016/j.neuroimage.2022.119327

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Abstract

Limitations in the accuracy of brain pathways reconstructed by diffusion MRI (dMRI) tractography have received considerable attention. While the technical advances spearheaded by the Human Connectome Project (HCP) led to significant improvements in dMRI data quality, it remains unclear how these data should be analyzed to maximize tractography accuracy. Over a period of two years, we have engaged the dMRI community in the IronTract Challenge, which aims to answer this question by leveraging a unique dataset. Macaque brains that have received both tracer injections and ex vivo dMRI at high spatial and angular resolution allow a comprehensive, quantitative assessment of tractography accuracy on state-of-the-art dMRI acquisition schemes. We find that, when analysis methods are carefully optimized, the HCP scheme can achieve similar accuracy as a more time-consuming, Cartesian-grid scheme. Importantly, we show that simple pre- and post-processing strategies can improve the accuracy and robustness of many tractography methods. Finally, we find that fiber configurations that go beyond crossing (e.g., fanning, branching) are the most challenging for tractography. The IronTract Challenge remains open and we hope that it can serve as a valuable validation tool for both users and developers of dMRI analysis methods.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Psychology Cardiff University Brain Research Imaging Centre (CUBRIC)
Additional Information:	License information from Publisher: LICENSE 1: URL: http://creativecommons.org/licenses/by-nc-nd/4.0/, Start Date: 2022-05-19
Publisher:	Elsevier
ISSN:	1053-8119
Date of First Compliant Deposit:	7 June 2022
Date of Acceptance:	19 May 2022
Last Modified:	04 May 2023 14:35
URI:	https://orca.cardiff.ac.uk/id/eprint/150263

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