作者
Jelle Veraart, Daan Christiaens, Erpeng Dai, Luke J Edwards, Vladimir Golkov, Siawoosh Mohammadi, Kurt G Schilling, Mohammad Hadi Aarabi, Benjamin Ades-Aron, Nagesh Adluru, Sahar Ahmad, Santiago Aja-Fernandez, Andrew L Alexander, Mariam Andersson, Elixabete Ansorena, Fakhereh Movahedian Attar, Arnaud Attye, Dogu Baran Aydogan, Steven H Baete, Gianpaolo Antonio Basile, Giulia Bertò, Ahmad Beyh, Alberto Cacciola, Maxime Chamberland, Fernando Calamante, Jenny Chen, Jian Chen, Shin Tai Chong, Santiago Coelho, Luis Concha, Ricardo Coronado-Leija, Michiel Cottaar, Daniel Cremers, Szabolcs David, Alberto De Luca, Flavio Dell'Acqua, Thijs Dhollander, Jason Druzgal, Tim B Dyrby, Hernández-Torres Enedino, Oscar Esteban, Els Fieremans, Leon Fonville, Björn Fricke, Martijn Froeling, Ian Galea, Gabriel Girard, Francesco Grussu, Chin-Chin Heather Hsu, Yung-Chin Hsu, Khoi Huynh, Matilde Inglese, Heide Johansen-berg, Derek K Jones, Kouhei Kamiya, Claire Kelly, Ahmad Raza Khan, Ali Khan, Yi-Chia Kung, Alberto Lazari, Alexander Leemans, Laura Mancini, Ivan I Maximov, Harri Merisaari, Malwina Molendowska, Benjamin T Newman, Michael D Noseworthy, Dmitry S Novikov, Raquel Perez-Lopez, Franco Pestili, Tomasz Pieciak, Marco Pizzolato, Álvaro Planchuelo-Gómez, Paul Polak, Erika P Raven, Ricardo Rios-Carrillo, Viljami Sairanen, Simona Schiavi, Pohchoo Seow, Dmitri Shastin, Yao-Chia Shih, Lucas Soustelle, Yue Sun, Karsten Tabelow, Chantal MW Tax, Guillaume Theaud, Sjoerd B Vos, Ryckie G Wade, Li Wang, Limei Wang, Thomas Welton, Lars T Westlye, Stefan Winzeck, Joseph Yuan-Mou Yang, Pew-Thian Yap, Yukai Zou, Jennifer A McNab, Bennett A Landman, Nikolaus Weiskopf, Maxime Descoteaux
发表日期
2022
期刊
Proceedings of the Joint Annual ISMRM-ESMRMB Meeting
简介
The preprocessing of dMRI data sets is a critical step in the experimental workflow that, in general, improves the data reliability. We provide a comprehensive survey of the preprocessing workflows for dMRI data within our research community, assessing their variability and quantifying its impact on the dMRI metric reproducibility and inter-site comparisons. We observed that the lack of a standardized preprocessing pipeline across researchers is a significant source of variability that might lower the reproducibility of studies. These preliminary results highlight the need for harmonization of the image preprocessing workflow for dMRI data to promote more robust and reproducible analyses.
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J Veraart, D Christiaens, E Dai, LJ Edwards, V Golkov… - Proceedings of the Joint Annual ISMRM-ESMRMB …, 2022