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Abstract #2713

The Open Source Initiative for Perfusion Imaging (OSIPI): ASL Pipeline inventory 

Sudipto Dolui1, Hongli Fan2, Paula L. Croal3,4, Charlotte Buchanan4, Lydiane Hirschler5, Udunna Anazodo6, David L. Thomas7, Henk J.M.M. Mutsaerts8, and Jan Petr9
1Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2The Johns Hopkins School of Medicine, Baltimore, BC, United States, 3Radiological Sciences, Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham, United Kingdom, 4Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Nottingham, United Kingdom, 5Leiden University Medical Center, Leiden, Netherlands, 6Western University, London, ON, Canada, 7UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 8Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location VU, Amsterdam, Netherlands, 9Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany

As a part of the Open Source Initiative for Perfusion Imaging (OSIPI), we have created an inventory of software for automated processing of Arterial Spin Labeling (ASL) perfusion MRI data. We contacted the ASL community through different channels, inviting software developers to list their pipelines by completing a questionnaire covering different aspects and features of a desired pipeline. We received inputs from 18 developers and have summarized the main characteristics of their pipelines based on the information they provided. We expect that this inventory will facilitate ASL-related research, reduce duplicate development, and enable translation of ASL to clinical practice.

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