Abstract #3739

Neuroimaging Pre-Processing and Quality Control for The European Prevention of Alzheimer’s Dementia (EPAD) Cohort Study

Luigi Lorenzini¹, Silvia Ingala¹, Alle Meije Wink¹, Joost PA Kuijer¹, Viktor Wottschel¹, Carole Sudre^2,3,4,5, Sven Haller^6,7, José Luis Molinuevo^8,9,10,11, Juan Domingo Gispert^8,10,11,12, David M Cash¹³, David L Thomas¹⁴, Sjoerd B Vos^14,15, Ferran Prados Carrasco^16,17,18, Jan Petr¹⁹, Robin Wolz^20,21, Alessandro Palombit²⁰, Adam J Schwarz²², Gael Chételat²³, Pierre Payoux^24,25, Carol Di Perri²¹, Cyril Pernet²⁶, Frisoni Giovanni^27,28, Nick C Fox¹³, Craig Ritchie²⁹, Joanna Wardlaw^26,30, Adam Waldman^26,31, Frederik Barkhof^1,32, and Henk JMM Mutsaerts^1,33

¹VUmc Amsterdam, Amsterdam, Netherlands, ²MRC unit for Lifelong Health and Ageing at UCL, London, London, United Kingdom, ³Department of Neurodegenerative Disease, Dementia Research Centre, London, United Kingdom, ⁴Centre for Medical Image Computing UCL, London, United Kingdom, ⁵School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom, ⁶CIRD Centre d’Imagerie Rive Droite, Geneva, Switzerland, ⁷Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden, ⁸Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain, ⁹CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain, ¹⁰IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain, ¹¹Universitat Pompeu Fabra, Barcelona, Spain, ¹²CIBER Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain, ¹³Department of Neurodegenerative Disease, Dementia Research Centre, UCL, London, United Kingdom, ¹⁴Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, London, United Kingdom, ¹⁵Centre for Medical Image Computing, University College London, London, United Kingdom, ¹⁶Nuclear Magnetic Resonance Research Unit, Queen Square Multiple Sclerosis Centre, University College London Institute of Neurology, London, United Kingdom, ¹⁷Department of Medical Physics and Biomedical Engineering, Centre for Medical Image Computing, University College London, London, United Kingdom, ¹⁸e-Health Centre, Open University of Catalonia, Barcelona, Spain, ¹⁹Helmholtz‐Zentrum Dresden‐Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany, ²⁰IXICO, London, United Kingdom, ²¹Imperial College London, London, United Kingdom, ²²Takeda Pharmaceuticals Ltd., Cambridge, MA, United States, ²³Université de Normandie, Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, Caen, France, ²⁴Department of Nuclear Medicine, Toulouse CHU, Purpan University Hospital, Toulouse, France, ²⁵Toulouse NeuroImaging Center, University of Toulouse, INSERM, UPS, Toulouse, France, ²⁶Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland, ²⁷Laboratory Alzheimer’s Neuroimaging & Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy, ²⁸University Hospitals and University of Geneva, Geneva, Switzerland, ²⁹Centre for Dementia Prevention, The University of Edinburgh, Edinburgh, Scotland, ³⁰UK Dementia Research Institute at Edinburgh, University of Edinburg, Edinburgh, Scotland, ³¹Department of Medicine, Imperial College London, London, United Kingdom, ³²Institute of Neurology and Healthcare Engineering, University College London, London, United Kingdom, ³³Ghent Institute for Functional and Metabolic Imaging (GIfMI), Ghent University, Ghent, Belgium

The neuroimaging community strives to obtain large data cohorts, usually through association within consortia spanning different sites and countries. This results in increased variability of acquisition parameters and scan quality, which can affect image processing and statistical analyses. We propose a semi-automatic data management pipeline to process raw data, assess quality and compute image-derived phenotypes from multi-modal MRI scans, as developed for the multi-centre European Prevention of Alzheimer Dementia longitudinal cohort study (EPAD LCS).

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