Abstract #4983
A data-driven variability assessment of brain diffusion MRI preprocessing pipelines
Jelle Veraart1, Daan Christiaens2, Erpeng Dai3, Luke J. Edwards4, Vladimir Golkov5, Siawoosh Mohammadi6, Kurt G. Schilling7, Mohammad Hadi Aarabi8, Benjamin Ades-Aron1,9, Nagesh Adluru10, Sahar Ahmad11, Santiago Aja-Fernandez12, Andrew L. Alexander10, Mariam Andersson13, Elixabete Ansorena14, Fakhereh Movahedian Attar4, Arnaud Attye15, Dogu Baran Aydogan16,17, Steven H. Baete1, Gianpaolo Antonio Basile18, Giulia Bertò19, Ahmad Beyh20, Alberto Cacciola18, Maxime Chamberland21, Fernando Calamante22, Jenny Chen1, Jian Chen23, Shin Tai Chong24, Santiago Coelho1, Luis Concha25, Ricardo Coronado-Leija1, Michiel Cottaar26, Daniel Cremers5, Szabolcs David14,27, Alberto De Luca14, Flavio Dell'Acqua20, Thijs Dhollander23, Jason Druzgal28, Tim B. Dyrby13,29, Hernández-Torres Enedino13, Oscar Esteban30, Els Fieremans1, Leon Fonville31, Björn Fricke32, Martijn Froeling33, Ian Galea34, Gabriel Girard35,36, Francesco Grussu37, Chin-Chin Heather Hsu38,39, Yung-Chin Hsu40, Khoi Huynh11, Matilde Inglese41,42, Heide Johansen-berg26, Derek K Jones43, Kouhei Kamiya44, Claire Kelly45,46, Ahmad Raza Khan47, Ali Khan48, Yi-Chia Kung24, Alberto Lazari26, Alexander Leemans14, Laura Mancini49,50, Ivan I. Maximov51, Harri Merisaari52, Malwina Molendowska43, Benjamin T. Newman28, Michael D. Noseworthy53, Dmitry S. Novikov1, Raquel Perez-Lopez37, Franco Pestili19, Tomasz Pieciak12, Marco Pizzolato29, Álvaro Planchuelo-Gómez12, Paul Polak54, Erika P. Raven1, Ricardo Rios-Carrillo25, Viljami Sairanen55, Simona Schiavi41, Pohchoo Seow56, Dmitri Shastin43, Yao-Chia Shih56,57, Lucas Soustelle58, Yue Sun59, Karsten Tabelow60, Chantal MW Tax14,43, Guillaume Theaud61, Sjoerd B. Vos62, Ryckie G. Wade63, Li Wang59, Limei Wang59, Thomas Welton64,65, Lars T. Westlye66, Stefan Winzeck67,68, Joseph Yuan-Mou Yang69,70, Pew-Thian Yap11, Yukai Zou34, Jennifer A. McNab3, Bennett A. Landman7, Nikolaus Weiskopf4,71, and Maxime Descoteaux61
1Center for Biomedical Imaging, Dept. Radiology, NYU School of Medicine, New York City, NY, United States, 2Department of Electrical Engineering (ESAT-PSI), KU Leuven, Leuven, Belgium, 3Department of Radiology, Stanford University, Stanford, CA, United States, 4Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 5Computer Vision Group, Technical University of Munich, Munich, Germany, 6Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany, 7Vanderbilt University Medical Center, Nashville, TN, United States, 8Department of Neuroscience and Padova Neuroscience Center, University of Padova, Padua, Italy, 9Electrical and Computer Engineering, New York University, Brooklyn, NY, United States, 10Waisman Center and Department of Radiology, UW-Madison, Madison, WI, United States, 11Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 12LPI, ETSI Telecomunicacion, Universidad de Valladolid, Valladolid, Spain, 13Danish Research Centre for Magnetic Resonance, Copenhagen University Hospital Amager and Hvidovre, Copenhagen, Denmark, 14Image Sciences Institute, UMC Utrecht, Utrecht, Netherlands, 15Sydney Imaging, University of Sydney, Sydney, Australia, 16A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland, 17Department of Biomedical Engineering, Aalto University, Espoo, Finland, 18Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy, 19Department of Psychology, The University of Texas at Austin, Austin, TX, United States, 20NatBrainLab, Department of Forensic and Neurodevelopmental Sciences, King's College London, London, United Kingdom, 21Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen, Netherlands, 22Sydney Imaging and School of Biomedical Engineering, University of Sydney, Sydney, Australia, 23Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Australia, 24Institute of Neuroscience, National Yang Ming Chiao Tung University, Tapei, Taiwan, 25Institute of Neurobiology, Universidad Nacional Autónoma de México, Querétaro, Mexico, 26Nuffield Department of Clinical Neurosciences, University of Oxford, Wellcome Centre for Integrative Neuroimaging, FMRIB, Oxford, United Kingdom, 27Department of Radiation Oncology, UMC Utrecht, Utrecht, Netherlands, 28Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, United States, 29Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark, 30Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 31Department of Brain Sciences, Division of Psychiatry, Imperial College London, London, United Kingdom, 32Department of Systems Neuroscienc, University Medical Center Hamburg-Eppendorf, Hamburg, Germany, 33Department of Radiology, University medical center Utrecht, Utrecht, Netherlands, 34Department of Clinical Neurosciences, University of Southampton, Southampton, United Kingdom, 35CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 36Radiology Department, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland, 37Radiomics Group, Vall d’Hebron Institute of Oncology, Vall d’Hebron Barcelona Hospital Campus, Barcelona, Spain, 38Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan, 39Center for Geriatrics and Gerontology, Taipei Veterans General Hospital, Tapei, Taiwan, 40AcroViz Inc., Taipei, Taiwan, 41Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DiNOGMI), University of Genoa, Genoa, Italy, 42IRCCS Ospedale San Martino, Genoa, Italy, 43Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, United Kingdom, 44Department of Radiology, Toho University, Tokyo, Japan, 45Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Australia, 46Victorian Infant Brain Studies, Murdoch Children's Research Institute, Melbourne, Australia, 47Department of Advanced Spectroscopy and Imaging, Centre of Biomedical Research, Lucknow, India, 48Department of Medical Biophysics, Western University, London, ON, Canada, 49Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery UCLH NHS FT, London, United Kingdom, 50Brain Repair and Rehabilitation, University College London, London, United Kingdom, 51Western Norway University of Applied Sciences, Bergen, Norway, 52Department of Clinical Medicine, University of Turku, Turku, Finland, 53Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada, 54School of Biomedical Engineering, McMaster University, Hamilton, ON, Canada, 55BABA Center, Pediatric Research Center, Department of Clinical Neurophysiology, Children’s Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland, 56Diagnostic Radiology, Singapore General Hospital, Singapore, Singapore, 57Graduate Institute of Medicine, Yuan Ze University, Taoyuan City, Taiwan, 58Aix Marseille Univ, CNRS, CRMBM, Marseille, France, 59Developing Brain Computing Lab, Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 60Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany, 61Sherbrooke Connectivity Imaging Laboratory (SCIL), Université de Sherbrooke, Sherbrooke, QC, Canada, 62Centre for Medical Image Computing, University College London, London, United Kingdom, 63Leeds Institute for Medical Research, University of Leeds, Leeds, United Kingdom, 64National Neuroscience Institute, Singapore, Singapore, 65Duke-NUS Medical School, Singapore, Singapore, 66Department of Psychology, University of Oslo, Oslo, Norway, 67Department of Computing, Imperial College London, London, United Kingdom, 68Department of Medicine, University Division of Anaesthesia, University of Cambridge, Cambridge, United Kingdom, 69Department of Neurosurgery, The Royal Children's Hospital, Melbourne, Australia, 70Neuroscience Research, Murdoch Children's Research Institute, Melbourne, Australia, 71Leipzig University, Felix Bloch Institute for Solid State Physics, Faculty of Physics and Earth Sciences, Leipzig, Germany
Synopsis
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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