Udunna Anazodo1,2, Joana Pinto3, Flora A. Kennedy McConnell4,5,6, Maria-Eleni Dounavi7, Cassandra Gould van Praag8, Henk Mutsaerts9, Aaron Oliver Taylor10, André Paschoal11, Jan Petr12, Diego Pineda-Ordóñez13, Joseph G. Woods14, Moss Y. Zhao15, and Paula L. Croal4,5
1Department of Medical Biophysics, University of Western Ontario, London, ON, Canada, 2Imaging Division, Lawson Health Research Institute, London, ON, Canada, 3Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom, 4Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 5Radiological Sciences, Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham, United Kingdom, 6Nottingham Biomedical Research Centre, Queens Medical Centre, Nottingham, United Kingdom, 7Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom, 8Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom, 9Amsterdam University Medical Center, Amsterdam, Netherlands, 10Gold Standard Phantoms Limited, London, United Kingdom, 11Department of Radiology, LIM44 - HCFMUSP, Sao Paulo, Brazil, 12Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany, 13Department of Radiology, Clinica Del Country, Bogotá, Colombia, 14Department of Radiology, University of California San Diego, San Diego, CA, United States, 15Department of Radiology, Stanford University, Stanford, CA, United States
1Department of Medical Biophysics, University of Western Ontario, London, ON, Canada, 2Imaging Division, Lawson Health Research Institute, London, ON, Canada, 3Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom, 4Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 5Radiological Sciences, Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham, United Kingdom, 6Nottingham Biomedical Research Centre, Queens Medical Centre, Nottingham, United Kingdom, 7Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom, 8Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom, 9Amsterdam University Medical Center, Amsterdam, Netherlands, 10Gold Standard Phantoms Limited, London, United Kingdom, 11Department of Radiology, LIM44 - HCFMUSP, Sao Paulo, Brazil, 12Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany, 13Department of Radiology, Clinica Del Country, Bogotá, Colombia, 14Department of Radiology, University of California San Diego, San Diego, CA, United States, 15Department of Radiology, Stanford University, Stanford, CA, United States
The OSIPI ASL MRI Challenge aims to establish the range of image analysis approaches used for perfusion quantification and identify optimum pipelines, ultimately moving towards community consensus for reproducible analysis of ASL MRI.
Figure 1: Projected timeline for the OSIPI ASL Challenge. The challenge will be open for a period of six months, with winning teams presenting at the ISMRM Perfusion Study Group meeting at ISMRM 2022.
Figure 2: Example perfusion-weighted images (arbitrary units) for A) population-based and B) synthetic datasets.
