Authors
Gabriel Girard, Jonathan Rafael-Patiño, Raphaël Truffet, Dogu Baran Aydogan, Nagesh Adluru, Veena A Nair, Vivek Prabhakaran, Barbara B Bendlin, Andrew L Alexander, Sara Bosticardo, Ilaria Gabusi, Mario Ocampo-Pineda, Matteo Battocchio, Zuzana Piskorova, Pietro Bontempi, Simona Schiavi, Alessandro Daducci, Aleksandra Stafiej, Dominika Ciupek, Fabian Bogusz, Tomasz Pieciak, Matteo Frigo, Sara Sedlar, Samuel Deslauriers-Gauthier, Ivana Kojčić, Mauro Zucchelli, Hiba Laghrissi, Yang Ji, Rachid Deriche, Kurt G Schilling, Bennett A Landman, Alberto Cacciola, Gianpaolo Antonio Basile, Salvatore Bertino, Nancy Newlin, Praitayini Kanakaraj, Francois Rheault, Patryk Filipiak, Timothy M Shepherd, Ying-Chia Lin, Dimitris G Placantonakis, Fernando E Boada, Steven H Baete, Erick Hernández-Gutiérrez, Alonso Ramírez-Manzanares, Ricardo Coronado-Leija, Pablo Stack-Sánchez, Luis Concha, Maxime Descoteaux, Caio Seguin, Andrew Zalesky, Kenji Marshall, Erick J Canales-Rodríguez, Ye Wu, Sahar Ahmad, Pew-Thian Yap, Antoine Théberge, Florence Gagnon, Frédéric Massi, Elda Fischi-Gomez, Rémy Gardier, Juan Luis Villarreal Haro, Marco Pizzolato, Emmanuel Caruyer, Jean-Philippe Thiran
Publication date
2023/8/15
Journal
NeuroImage
Volume
277
Pages
120231
Publisher
Academic Press
Description
Estimating structural connectivity from diffusion-weighted magnetic resonance imaging is a challenging task, partly due to the presence of false-positive connections and the misestimation of connection weights. Building on previous efforts, the MICCAI-CDMRI Diffusion-Simulated Connectivity (DiSCo) challenge was carried out to evaluate state-of-the-art connectivity methods using novel large-scale numerical phantoms. The diffusion signal for the phantoms was obtained from Monte Carlo simulations. The results of the challenge suggest that methods selected by the 14 teams participating in the challenge can provide high correlations between estimated and ground-truth connectivity weights, in complex numerical environments. Additionally, the methods used by the participating teams were able to accurately identify the binary connectivity of the numerical dataset. However, specific false positive and false negative …
Total citations
20241
Scholar articles
G Girard, J Rafael-Patiño, R Truffet, DB Aydogan… - NeuroImage, 2023