New insights from the IronTract challenge: Simple post-processing enhances the accuracy of diffusion tractography

Chiara Maffei, Gabriel Girard, Kurt G. Schilling, Dogu Baran Aydogan, Nagesh Adluru, Andrey Zhylka, Ye Wu, Matteo Mancini, Andac Hamamci, Alessia Sarica, Davood Karimi, Fang-Cheng Yeh, Mert E. Yildiz, Ali Gholipour, Andrea Quattrone, Aldo Quattrone, Pew-Thian Yap, Alberto De Luca, Josien P.W. Pluim, Alexander LemansVivek Prabhakaran, Barbara B. Bendlin, Andrew L. Alexander, Bennett A. Landman, Erick J. Canales-Rodríguez, Muhamed Barakovic, Jonathan Rafael-Patino, Thomas Yu, Gaëtan Rensonnet, Simona Schiavi, Alessandro Daducci, Marco Pizzolato, Elda Fischi-Gomez, Jean-Philippe Thiran, George Dai , Giorgia Grisot, Santi Puch, Marc Ramos , Nikola Lazovski, Paulo Rodrigues , Vesna Prchkovska, Robert Jones, Julia Lehman, Suzanne Haber, Anastasia Yendiki

Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review


We present results from round 2 of IronTract, the first challenge to evaluate the accuracy of tractography using i) tracer injections and diffusion MRI from the same macaque brains, and ii) DSI and HCP two-shell diffusion acquisition schemes. In round 1, only two teams achieved similarly high performance between the two different injection sites that we used for training and validation. Here we investigate the extent to which this was due to the pre- and post-processing used by those teams. We show that, when other teams use the same pre- and post-processing, their accuracy and robustness can improve as well.
Original languageEnglish
Publication date2021
Number of pages3
Publication statusPublished - 2021
Event2021 ISMRM & SMRT Annual Meeting & Exhibition - Online
Duration: 15 May 202120 May 2021


Conference2021 ISMRM & SMRT Annual Meeting & Exhibition


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